From 0ea19572cf4a7203c43e6656dee673b90c8c8744 Mon Sep 17 00:00:00 2001 From: rosazwart Date: Tue, 23 Jul 2024 11:43:23 +0200 Subject: [PATCH] Improved query for finding phenotypic features --- SPARQL/scenario_5/question2_b.rq | 11 + nras_matching_phenotypes.png | Bin 79651 -> 80001 bytes nras_notebook.ipynb | 1724 +++++++++++++++--------------- 3 files changed, 873 insertions(+), 862 deletions(-) diff --git a/SPARQL/scenario_5/question2_b.rq b/SPARQL/scenario_5/question2_b.rq index d16a705..784c93f 100644 --- a/SPARQL/scenario_5/question2_b.rq +++ b/SPARQL/scenario_5/question2_b.rq @@ -3,6 +3,7 @@ PREFIX obo: PREFIX sio: PREFIX dcterms: PREFIX rdfs: +PREFIX xsd: SELECT ?idvalue ?phenofeatid ?phenofeatlabel WHERE { @@ -19,5 +20,15 @@ WHERE { a obo:NCIT_C16977 . ?phenofeat dcterms:identifier ?phenofeatid ; rdfs:label ?phenofeatlabel . + + # Find the phenotypic features that are not excluded + OPTIONAL { + ?phenofeat sio:SIO_000008 ?excluded . + ?excluded a obo:HP_0040285 . + ?excludedval sio:SIO_000628 ?excluded ; + sio:SIO_000300 ?excludedlabel . + } + + FILTER (!bound(?excluded) || ?excludedlabel = "false"^^xsd:boolean ) } \ No newline at end of file diff --git a/nras_matching_phenotypes.png b/nras_matching_phenotypes.png index 7788eb0cac2f138ebc2f37198754904bedc170d1..4b7a9ea5446a7344cb1489c8cd5b082b2bb5ae83 100644 GIT binary patch literal 80001 zcmc$`cRbhc8#erDN>MV(Xpya9MNyQHku6C|vR7nekCqk54oR6QD`jO>wv>#bh^R#N z%H}?<@Avn+@8@~lulx1<^E|KTkA7c2+j?RYmCKMGzM>}g5wo^FgK%s0gB>z@DkxsLqtfEj9 zWlw0kJQ(_Brpx%d&1c-*`FhIDJ(pJT@&D~Au2!lH)4hE1IompSHBrvLUCJ3xG#E6D zS}S$w4@I?K9=-7V>~T4|YrmIXCwN{su`c<~+=Vty;f02Vm>84$B5Ev=iM$(SHn88K zli3iuxs_$755Buq7D_W$=wj&BO9Impl1Zz+g}`TYC4?9IWPd;a}9f5*N5-~Z}F z=!T6OWl}V`(yi_61oyFV}|@^vw|WcnQ+A)H6dy9 zVqtrizuNz-4W$X*yVu3V<@?}Z+?9@EuO$im#`o{v9XnDLSdWOylq7KO8Q8NNl8a9r z?JA{~I?K3DTwGk6|IE|nRcw;i_OXdsE96ZFG#Iv|sz zbH5W?La3xD-X-41=}cqr+7 zCAL$)il;X_A+F))(3cl$*RA6k=uxpR_3}D>`m~*$-J{bn!czk+elN@#Q@>to{?lm^ 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z`5@QDz@=@5u`}i=DrI;n?1Ey*GIJG?+OUTO4h6YW-u?lum&7^^u&>|Y*&Fm=c4Gjen^fkm9bS75o=?T%X;0*Y))db;(MNmffXoKG zd6s(LAJZK5X_h6V0Sf*NspW43!@>4jB#)f@-L@mdX2B$w)ADr1UN;5G|U;q3?YQd$wZy!3Bo&~E{(O>bdE4hB67w`p9p>{`2(GN`%CK-nF z7>8j(&jEy`P$s8N+)1x){M6+%TRO>z?dj-FESy`OvH^-GJ->J&A|o+b;~Niy8SHuP zyta5R9pG0{DT(7^`>dBKFUUX2OL&&q!x^~vnw?HHif0$_Ogk6 z=_23uO;OhI`zBcK?}Mv^;Qvzx{;yH`fA~R#pIfQ^`os3RTOX`d_!>Q8tWCm?(^mfn DGtGcP diff --git a/nras_notebook.ipynb b/nras_notebook.ipynb index 5eeb6be..47959ae 100644 --- a/nras_notebook.ipynb +++ b/nras_notebook.ipynb @@ -591,13 +591,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'PREFIX ex: \\nPREFIX obo: \\nPREFIX sio: \\nPREFIX dcterms: \\nPREFIX rdfs: \\n\\nSELECT ?idvalue ?phenofeatid ?phenofeatlabel\\nWHERE {\\n # Find relevant phenopackets\\n ?id a obo:IAO_0020000 ;\\n sio:SIO_000300 ?idvalue .\\n VALUES ?idvalue { \"PMID_26467218_individual_6_Cirstea_et_al__14\" \"PMID_26467218_individual_11_Kraoua_et_al__23\" \"PMID_26467218_individual_3_Denayer_et_al__22\" \"PMID_26467218_individual_9_Cirstea_et_al__14\" \"PMID_26467218_individual_4_Denayer_et_al__22\" \"PMID_26467218_individual_12_Present_study\" \"PMID_26467218_individual_1_De_Filippi_et_al__20\" \"PMID_26467218_individual_2_Runtuwene_et_al__21\" \"PMID_26467218_individual_9_M_Cirstea_et_al__14\" \"PMID_26467218_individual_5_Denayer_et_al__22\" \"PMID_26467218_individual_12_F_Present_study\" \"PMID_26467218_individual_8_Cirstea_et_al__14\" \"PMID_26467218_individual_10_Kraoua_et_al__23\" \"PMID_26467218_individual_7_Cirstea_et_al__14\" } .\\n \\n # Find phenotypic features\\n ?id sio:SIO_000020 ?role .\\n ?phenopacket sio:SIO_000228 ?role ;\\n sio:SIO_001403 ?phenofeat .\\n ?phenofeatval sio:SIO_000628 ?phenofeat ;\\n a obo:NCIT_C16977 .\\n ?phenofeat dcterms:identifier ?phenofeatid ;\\n rdfs:label ?phenofeatlabel .\\n \\n}'" + "'PREFIX ex: \\nPREFIX obo: \\nPREFIX sio: \\nPREFIX dcterms: \\nPREFIX rdfs: \\nPREFIX xsd: \\n\\nSELECT ?idvalue ?phenofeatid ?phenofeatlabel\\nWHERE {\\n # Find relevant phenopackets\\n ?id a obo:IAO_0020000 ;\\n sio:SIO_000300 ?idvalue .\\n VALUES ?idvalue { \"PMID_26467218_individual_6_Cirstea_et_al__14\" \"PMID_26467218_individual_11_Kraoua_et_al__23\" \"PMID_26467218_individual_3_Denayer_et_al__22\" \"PMID_26467218_individual_9_Cirstea_et_al__14\" \"PMID_26467218_individual_4_Denayer_et_al__22\" \"PMID_26467218_individual_12_Present_study\" \"PMID_26467218_individual_1_De_Filippi_et_al__20\" \"PMID_26467218_individual_2_Runtuwene_et_al__21\" \"PMID_26467218_individual_9_M_Cirstea_et_al__14\" \"PMID_26467218_individual_5_Denayer_et_al__22\" \"PMID_26467218_individual_12_F_Present_study\" \"PMID_26467218_individual_8_Cirstea_et_al__14\" \"PMID_26467218_individual_10_Kraoua_et_al__23\" \"PMID_26467218_individual_7_Cirstea_et_al__14\" } .\\n \\n # Find phenotypic features\\n ?id sio:SIO_000020 ?role .\\n ?phenopacket sio:SIO_000228 ?role ;\\n sio:SIO_001403 ?phenofeat .\\n ?phenofeatval sio:SIO_000628 ?phenofeat ;\\n a obo:NCIT_C16977 .\\n ?phenofeat dcterms:identifier ?phenofeatid ;\\n rdfs:label ?phenofeatlabel .\\n\\n OPTIONAL {\\n ?phenofeat sio:SIO_000008 ?excluded .\\n ?excluded a obo:HP_0040285 .\\n ?excludedval sio:SIO_000628 ?excluded ;\\n \\t\\t\\t sio:SIO_000300 ?excludedlabel . \\n }\\n \\n FILTER (!bound(?excluded) || ?excludedlabel = \"false\"^^xsd:boolean )\\n \\n}'" ] }, "metadata": { @@ -619,13 +619,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "326" + "157" ] }, "metadata": { @@ -652,7 +652,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -683,61 +683,61 @@ " \n", " \n", " \n", - " 94\n", - " PMID_26467218_individual_9_Cirstea_et_al__14\n", + " 13\n", + " PMID_26467218_individual_6_Cirstea_et_al__14\n", " HP:0000028\n", " Cryptorchidism\n", " \n", " \n", - " 133\n", - " PMID_26467218_individual_12_Present_study\n", - " HP:0000767\n", - " Pectus excavatum\n", + " 97\n", + " PMID_26467218_individual_9_M_Cirstea_et_al__14\n", + " HP:0000369\n", + " Low-set ears\n", " \n", " \n", - " 179\n", - " PMID_26467218_individual_2_Runtuwene_et_al__21\n", - " HP:0000256\n", - " Macrocephaly\n", + " 106\n", + " PMID_26467218_individual_5_Denayer_et_al__22\n", + " HP:0000767\n", + " Pectus excavatum\n", " \n", " \n", - " 184\n", - " PMID_26467218_individual_9_M_Cirstea_et_al__14\n", - " HP:0000508\n", - " Ptosis\n", + " 113\n", + " PMID_26467218_individual_12_F_Present_study\n", + " HP:0000316\n", + " Hypertelorism\n", " \n", " \n", - " 198\n", - " PMID_26467218_individual_9_M_Cirstea_et_al__14\n", - " HP:0006699\n", - " Premature atrial contractions\n", + " 130\n", + " PMID_26467218_individual_8_Cirstea_et_al__14\n", + " HP:0000348\n", + " High forehead\n", " \n", " \n", - " 207\n", - " PMID_26467218_individual_5_Denayer_et_al__22\n", - " HP:0000256\n", - " Macrocephaly\n", + " 138\n", + " PMID_26467218_individual_10_Kraoua_et_al__23\n", + " HP:0000316\n", + " Hypertelorism\n", " \n", " \n", - " 233\n", - " PMID_26467218_individual_12_F_Present_study\n", - " HP:0001561\n", - " Polyhydramnios\n", + " 143\n", + " PMID_26467218_individual_10_Kraoua_et_al__23\n", + " HP:0004322\n", + " Short stature\n", " \n", " \n", - " 292\n", - " PMID_26467218_individual_10_Kraoua_et_al__23\n", - " HP:0001680\n", - " Coarctation of aorta\n", + " 146\n", + " PMID_26467218_individual_7_Cirstea_et_al__14\n", + " HP:0004322\n", + " Short stature\n", " \n", " \n", - " 324\n", + " 152\n", " PMID_26467218_individual_7_Cirstea_et_al__14\n", - " HP:0006699\n", - " Premature atrial contractions\n", + " HP:0000358\n", + " Posteriorly rotated ears\n", " \n", " \n", - " 325\n", + " 156\n", " PMID_26467218_individual_7_Cirstea_et_al__14\n", " HP:0002212\n", " Curly hair\n", @@ -748,28 +748,28 @@ ], "text/plain": [ " phenopacket ID phenotype ID \\\n", - "94 PMID_26467218_individual_9_Cirstea_et_al__14 HP:0000028 \n", - "133 PMID_26467218_individual_12_Present_study HP:0000767 \n", - "179 PMID_26467218_individual_2_Runtuwene_et_al__21 HP:0000256 \n", - "184 PMID_26467218_individual_9_M_Cirstea_et_al__14 HP:0000508 \n", - "198 PMID_26467218_individual_9_M_Cirstea_et_al__14 HP:0006699 \n", - "207 PMID_26467218_individual_5_Denayer_et_al__22 HP:0000256 \n", - "233 PMID_26467218_individual_12_F_Present_study HP:0001561 \n", - "292 PMID_26467218_individual_10_Kraoua_et_al__23 HP:0001680 \n", - "324 PMID_26467218_individual_7_Cirstea_et_al__14 HP:0006699 \n", - "325 PMID_26467218_individual_7_Cirstea_et_al__14 HP:0002212 \n", + "13 PMID_26467218_individual_6_Cirstea_et_al__14 HP:0000028 \n", + "97 PMID_26467218_individual_9_M_Cirstea_et_al__14 HP:0000369 \n", + "106 PMID_26467218_individual_5_Denayer_et_al__22 HP:0000767 \n", + "113 PMID_26467218_individual_12_F_Present_study HP:0000316 \n", + "130 PMID_26467218_individual_8_Cirstea_et_al__14 HP:0000348 \n", + "138 PMID_26467218_individual_10_Kraoua_et_al__23 HP:0000316 \n", + "143 PMID_26467218_individual_10_Kraoua_et_al__23 HP:0004322 \n", + "146 PMID_26467218_individual_7_Cirstea_et_al__14 HP:0004322 \n", + "152 PMID_26467218_individual_7_Cirstea_et_al__14 HP:0000358 \n", + "156 PMID_26467218_individual_7_Cirstea_et_al__14 HP:0002212 \n", "\n", - " phenotype label \n", - "94 Cryptorchidism \n", - "133 Pectus excavatum \n", - "179 Macrocephaly \n", - "184 Ptosis \n", - "198 Premature atrial contractions \n", - "207 Macrocephaly \n", - "233 Polyhydramnios \n", - "292 Coarctation of aorta \n", - "324 Premature atrial contractions \n", - "325 Curly hair " + " phenotype label \n", + "13 Cryptorchidism \n", + "97 Low-set ears \n", + "106 Pectus excavatum \n", + "113 Hypertelorism \n", + "130 High forehead \n", + "138 Hypertelorism \n", + "143 Short stature \n", + "146 Short stature \n", + "152 Posteriorly rotated ears \n", + "156 Curly hair " ] }, "metadata": { @@ -789,7 +789,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -807,7 +807,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -821,7 +821,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -868,190 +868,190 @@ " \n", " \n", " 2\n", - " HP:0000957\n", - " Cafe-au-lait spot\n", + " HP:0000494\n", + " Downslanted palpebral fissures\n", " 14\n", " 100.0%\n", " \n", " \n", " 3\n", - " HP:0012209\n", - " Juvenile myelomonocytic leukemia\n", + " HP:0000358\n", + " Posteriorly rotated ears\n", " 14\n", " 100.0%\n", " \n", " \n", " 4\n", - " HP:0000494\n", - " Downslanted palpebral fissures\n", + " HP:0000348\n", + " High forehead\n", " 14\n", " 100.0%\n", " \n", " \n", " 5\n", - " HP:0004322\n", - " Short stature\n", - " 14\n", - " 100.0%\n", + " HP:0000465\n", + " Webbed neck\n", + " 10\n", + " 71.4%\n", " \n", " \n", " 6\n", - " HP:0000348\n", - " High forehead\n", - " 14\n", - " 100.0%\n", + " HP:0000767\n", + " Pectus excavatum\n", + " 9\n", + " 64.3%\n", " \n", " \n", " 7\n", - " HP:0000508\n", - " Ptosis\n", - " 14\n", - " 100.0%\n", + " HP:0001270\n", + " Motor delay\n", + " 9\n", + " 64.3%\n", " \n", " \n", " 8\n", - " HP:0000358\n", - " Posteriorly rotated ears\n", - " 14\n", - " 100.0%\n", + " HP:0000028\n", + " Cryptorchidism\n", + " 6\n", + " 42.9%\n", " \n", " \n", " 9\n", - " HP:0000767\n", - " Pectus excavatum\n", - " 13\n", - " 92.9%\n", + " HP:0004322\n", + " Short stature\n", + " 5\n", + " 35.7%\n", " \n", " \n", " 10\n", - " HP:0001655\n", - " Patent foramen ovale\n", - " 13\n", - " 92.9%\n", + " HP:0000957\n", + " Cafe-au-lait spot\n", + " 5\n", + " 35.7%\n", " \n", " \n", " 11\n", - " HP:0000256\n", - " Macrocephaly\n", - " 13\n", - " 92.9%\n", + " HP:0002212\n", + " Curly hair\n", + " 5\n", + " 35.7%\n", " \n", " \n", " 12\n", - " HP:0001680\n", - " Coarctation of aorta\n", - " 13\n", - " 92.9%\n", + " HP:0000256\n", + " Macrocephaly\n", + " 5\n", + " 35.7%\n", " \n", " \n", " 13\n", - " HP:0000483\n", - " Astigmatism\n", - " 12\n", - " 85.7%\n", + " HP:0001561\n", + " Polyhydramnios\n", + " 4\n", + " 28.6%\n", " \n", " \n", " 14\n", - " HP:0001270\n", - " Motor delay\n", - " 12\n", - " 85.7%\n", + " HP:0032152\n", + " Keratosis pilaris\n", + " 4\n", + " 28.6%\n", " \n", " \n", " 15\n", - " HP:0000486\n", - " Strabismus\n", - " 12\n", - " 85.7%\n", + " HP:0001639\n", + " Hypertrophic cardiomyopathy\n", + " 3\n", + " 21.4%\n", " \n", " \n", " 16\n", - " HP:0000465\n", - " Webbed neck\n", - " 12\n", - " 85.7%\n", + " HP:0000545\n", + " Myopia\n", + " 3\n", + " 21.4%\n", " \n", " \n", " 17\n", - " HP:0000545\n", - " Myopia\n", - " 11\n", - " 78.6%\n", + " HP:0001642\n", + " Pulmonic stenosis\n", + " 3\n", + " 21.4%\n", " \n", " \n", " 18\n", - " HP:0000563\n", - " Keratoconus\n", - " 11\n", - " 78.6%\n", + " HP:0000508\n", + " Ptosis\n", + " 3\n", + " 21.4%\n", " \n", " \n", " 19\n", - " HP:0006699\n", - " Premature atrial contractions\n", - " 11\n", - " 78.6%\n", + " HP:0000978\n", + " Bruising susceptibility\n", + " 3\n", + " 21.4%\n", " \n", " \n", " 20\n", - " HP:0002212\n", - " Curly hair\n", - " 11\n", - " 78.6%\n", + " HP:0000486\n", + " Strabismus\n", + " 2\n", + " 14.3%\n", " \n", " \n", " 21\n", - " HP:0000978\n", - " Bruising susceptibility\n", - " 11\n", - " 78.6%\n", + " HP:0006699\n", + " Premature atrial contractions\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 22\n", - " HP:0001561\n", - " Polyhydramnios\n", - " 10\n", - " 71.4%\n", + " HP:0000563\n", + " Keratoconus\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 23\n", - " HP:0001195\n", - " Single umbilical artery\n", - " 10\n", - " 71.4%\n", + " HP:0001631\n", + " Atrial septal defect\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 24\n", - " HP:0032152\n", - " Keratosis pilaris\n", - " 9\n", - " 64.3%\n", + " HP:0000483\n", + " Astigmatism\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 25\n", - " HP:0000028\n", - " Cryptorchidism\n", - " 9\n", - " 64.3%\n", + " HP:0012209\n", + " Juvenile myelomonocytic leukemia\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 26\n", - " HP:0001639\n", - " Hypertrophic cardiomyopathy\n", - " 3\n", - " 21.4%\n", + " HP:0001655\n", + " Patent foramen ovale\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 27\n", - " HP:0001642\n", - " Pulmonic stenosis\n", - " 3\n", - " 21.4%\n", + " HP:0001680\n", + " Coarctation of aorta\n", + " 1\n", + " 7.1%\n", " \n", " \n", " 28\n", - " HP:0001631\n", - " Atrial septal defect\n", + " HP:0001195\n", + " Single umbilical artery\n", " 1\n", " 7.1%\n", " \n", @@ -1063,33 +1063,33 @@ " phenotype ID phenotype label counts \\\n", "0 HP:0000369 Low-set ears 14 \n", "1 HP:0000316 Hypertelorism 14 \n", - "2 HP:0000957 Cafe-au-lait spot 14 \n", - "3 HP:0012209 Juvenile myelomonocytic leukemia 14 \n", - "4 HP:0000494 Downslanted palpebral fissures 14 \n", - "5 HP:0004322 Short stature 14 \n", - "6 HP:0000348 High forehead 14 \n", - "7 HP:0000508 Ptosis 14 \n", - "8 HP:0000358 Posteriorly rotated ears 14 \n", - "9 HP:0000767 Pectus excavatum 13 \n", - "10 HP:0001655 Patent foramen ovale 13 \n", - "11 HP:0000256 Macrocephaly 13 \n", - "12 HP:0001680 Coarctation of aorta 13 \n", - "13 HP:0000483 Astigmatism 12 \n", - "14 HP:0001270 Motor delay 12 \n", - "15 HP:0000486 Strabismus 12 \n", - "16 HP:0000465 Webbed neck 12 \n", - "17 HP:0000545 Myopia 11 \n", - "18 HP:0000563 Keratoconus 11 \n", - "19 HP:0006699 Premature atrial contractions 11 \n", - "20 HP:0002212 Curly hair 11 \n", - "21 HP:0000978 Bruising susceptibility 11 \n", - "22 HP:0001561 Polyhydramnios 10 \n", - "23 HP:0001195 Single umbilical artery 10 \n", - "24 HP:0032152 Keratosis pilaris 9 \n", - "25 HP:0000028 Cryptorchidism 9 \n", - "26 HP:0001639 Hypertrophic cardiomyopathy 3 \n", - "27 HP:0001642 Pulmonic stenosis 3 \n", - "28 HP:0001631 Atrial septal defect 1 \n", + "2 HP:0000494 Downslanted palpebral fissures 14 \n", + "3 HP:0000358 Posteriorly rotated ears 14 \n", + "4 HP:0000348 High forehead 14 \n", + "5 HP:0000465 Webbed neck 10 \n", + "6 HP:0000767 Pectus excavatum 9 \n", + "7 HP:0001270 Motor delay 9 \n", + "8 HP:0000028 Cryptorchidism 6 \n", + "9 HP:0004322 Short stature 5 \n", + "10 HP:0000957 Cafe-au-lait spot 5 \n", + "11 HP:0002212 Curly hair 5 \n", + "12 HP:0000256 Macrocephaly 5 \n", + "13 HP:0001561 Polyhydramnios 4 \n", + "14 HP:0032152 Keratosis pilaris 4 \n", + "15 HP:0001639 Hypertrophic cardiomyopathy 3 \n", + "16 HP:0000545 Myopia 3 \n", + "17 HP:0001642 Pulmonic stenosis 3 \n", + "18 HP:0000508 Ptosis 3 \n", + "19 HP:0000978 Bruising susceptibility 3 \n", + "20 HP:0000486 Strabismus 2 \n", + "21 HP:0006699 Premature atrial contractions 1 \n", + "22 HP:0000563 Keratoconus 1 \n", + "23 HP:0001631 Atrial septal defect 1 \n", + "24 HP:0000483 Astigmatism 1 \n", + "25 HP:0012209 Juvenile myelomonocytic leukemia 1 \n", + "26 HP:0001655 Patent foramen ovale 1 \n", + "27 HP:0001680 Coarctation of aorta 1 \n", + "28 HP:0001195 Single umbilical artery 1 \n", "\n", " occurrence percentage \n", "0 100.0% \n", @@ -1097,29 +1097,29 @@ "2 100.0% \n", "3 100.0% \n", "4 100.0% \n", - "5 100.0% \n", - "6 100.0% \n", - "7 100.0% \n", - "8 100.0% \n", - "9 92.9% \n", - "10 92.9% \n", - "11 92.9% \n", - "12 92.9% \n", - "13 85.7% \n", - "14 85.7% \n", - "15 85.7% \n", - "16 85.7% \n", - "17 78.6% \n", - "18 78.6% \n", - "19 78.6% \n", - "20 78.6% \n", - "21 78.6% \n", - "22 71.4% \n", - "23 71.4% \n", - "24 64.3% \n", - "25 64.3% \n", - "26 21.4% \n", - "27 21.4% \n", + "5 71.4% \n", + "6 64.3% \n", + "7 64.3% \n", + "8 42.9% \n", + "9 35.7% \n", + "10 35.7% \n", + "11 35.7% \n", + "12 35.7% \n", + "13 28.6% \n", + "14 28.6% \n", + "15 21.4% \n", + "16 21.4% \n", + "17 21.4% \n", + "18 21.4% \n", + "19 21.4% \n", + "20 14.3% \n", + "21 7.1% \n", + "22 7.1% \n", + "23 7.1% \n", + "24 7.1% \n", + "25 7.1% \n", + "26 7.1% \n", + "27 7.1% \n", "28 7.1% " ] }, @@ -1156,7 +1156,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1165,7 +1165,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1227,7 +1227,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1309,13 +1309,13 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'Motor delay (HP:0001270), Low-set ears (HP:0000369)'" + "'Low-set ears (HP:0000369), Motor delay (HP:0001270)'" ] }, "metadata": { @@ -1343,7 +1343,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1352,7 +1352,7 @@ "['HP:0000475']" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1364,7 +1364,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1390,24 +1390,24 @@ " \n", " HP:0000369\n", " HP:0000316\n", - " HP:0000957\n", - " HP:0012209\n", " HP:0000494\n", - " HP:0004322\n", - " HP:0000348\n", - " HP:0000508\n", " HP:0000358\n", + " HP:0000348\n", + " HP:0000465\n", " HP:0000767\n", + " HP:0001270\n", + " HP:0000028\n", + " HP:0004322\n", " ...\n", - " HP:0002212\n", - " HP:0000978\n", - " HP:0001561\n", - " HP:0001195\n", - " HP:0032152\n", - " HP:0000028\n", - " HP:0001639\n", - " HP:0001642\n", + " HP:0000486\n", + " HP:0006699\n", + " HP:0000563\n", " HP:0001631\n", + " HP:0000483\n", + " HP:0012209\n", + " HP:0001655\n", + " HP:0001680\n", + " HP:0001195\n", " HP:0000475\n", " \n", " \n", @@ -1416,697 +1416,697 @@ " HP:0000369\n", " 0\n", " 10\n", - " 12\n", - " 10\n", - " 11\n", - " 9\n", " 11\n", - " 8\n", " 2\n", - " 8\n", - " ...\n", " 11\n", - " 8\n", " 9\n", + " 8\n", + " 11\n", + " 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" 8\n", " 11\n", - " 8\n", " 9\n", " 8\n", + " 5\n", + " 7\n", + " 9\n", " 10\n", - " 8\n", + " 7\n", " ...\n", - " 10\n", - " 8\n", + " 9\n", " 8\n", + " 10\n", " 5\n", " 8\n", " 9\n", - " 5\n", - " 8\n", - " 0\n", + " 6\n", " 7\n", + " 0\n", + " 5\n", " \n", " \n", " HP:0000475\n", @@ -2114,22 +2114,22 @@ " 8\n", " 9\n", " 9\n", - " 9\n", - " 7\n", " 7\n", - " 7\n", - " 9\n", + " 2\n", " 8\n", - " ...\n", " 8\n", + " 10\n", " 7\n", - " 7\n", - " 5\n", - " 6\n", + " ...\n", + " 9\n", " 10\n", + " 10\n", + " 7\n", " 8\n", " 9\n", + " 8\n", " 7\n", + " 5\n", " 0\n", " \n", " \n", @@ -2138,138 +2138,138 @@ "" ], "text/plain": [ - " HP:0000369 HP:0000316 HP:0000957 HP:0012209 HP:0000494 \\\n", - "HP:0000369 0 10 12 10 11 \n", - "HP:0000316 10 0 10 8 9 \n", - "HP:0000957 12 10 0 11 7 \n", - "HP:0012209 10 8 11 0 12 \n", - "HP:0000494 11 9 7 12 0 \n", - "HP:0004322 9 7 10 8 11 \n", - "HP:0000348 11 8 5 10 8 \n", - "HP:0000508 8 5 8 8 7 \n", - "HP:0000358 2 10 12 10 11 \n", - "HP:0000767 8 9 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"HP:0000358 9 11 8 0 8 ... \n", - "HP:0000767 6 8 9 8 0 ... \n", - "HP:0001655 9 10 9 11 9 ... \n", - "HP:0000256 7 7 9 10 7 ... \n", - "HP:0001680 10 8 9 11 9 ... \n", - "HP:0000483 7 9 3 9 10 ... \n", - "HP:0001270 8 8 8 11 9 ... \n", - "HP:0000486 8 10 4 10 11 ... \n", - "HP:0000465 7 7 7 9 8 ... \n", - "HP:0000545 7 9 3 9 10 ... \n", - "HP:0000563 10 10 6 12 13 ... \n", - "HP:0006699 9 11 9 12 11 ... \n", - "HP:0002212 8 7 8 11 10 ... \n", - "HP:0000978 7 7 6 8 8 ... \n", - "HP:0001561 6 8 6 9 9 ... \n", - "HP:0001195 7 8 7 9 7 ... \n", - "HP:0032152 7 7 7 9 7 ... \n", - "HP:0000028 9 10 9 11 10 ... \n", - "HP:0001639 9 10 9 11 9 ... \n", - "HP:0001642 8 10 8 11 10 ... \n", - "HP:0001631 8 9 8 10 8 ... \n", - "HP:0000475 7 7 7 9 8 ... \n", + " HP:0000465 HP:0000767 HP:0001270 HP:0000028 HP:0004322 ... \\\n", + "HP:0000369 9 8 11 11 9 ... \n", + "HP:0000316 8 9 9 9 7 ... \n", + "HP:0000494 9 11 13 10 11 ... \n", + "HP:0000358 9 8 11 11 9 ... \n", + "HP:0000348 7 8 8 10 8 ... \n", + "HP:0000465 0 8 8 10 7 ... \n", + "HP:0000767 8 0 9 10 6 ... \n", + "HP:0001270 8 9 0 11 8 ... \n", + "HP:0000028 10 10 11 0 9 ... \n", + "HP:0004322 7 6 8 9 0 ... \n", + "HP:0000957 9 10 11 11 10 ... \n", + "HP:0002212 8 10 10 10 8 ... \n", + "HP:0000256 8 7 11 12 7 ... \n", + "HP:0001561 7 9 8 9 6 ... \n", + "HP:0032152 6 7 9 8 7 ... \n", + "HP:0001639 8 9 11 10 9 ... \n", + "HP:0000545 8 10 9 10 7 ... \n", + "HP:0001642 9 10 10 11 8 ... \n", + "HP:0000508 7 9 8 9 6 ... \n", + "HP:0000978 7 8 9 9 7 ... \n", + "HP:0000486 9 11 9 11 8 ... \n", + "HP:0006699 10 11 11 12 9 ... \n", + "HP:0000563 10 13 12 12 10 ... \n", + "HP:0001631 7 8 10 9 8 ... \n", + "HP:0000483 8 10 9 10 7 ... \n", + "HP:0012209 9 10 10 9 8 ... \n", + "HP:0001655 8 9 11 10 9 ... \n", + "HP:0001680 7 9 11 12 10 ... \n", + "HP:0001195 5 7 9 10 7 ... \n", + "HP:0000475 2 8 8 10 7 ... \n", "\n", - " HP:0002212 HP:0000978 HP:0001561 HP:0001195 HP:0032152 \\\n", - "HP:0000369 11 8 9 9 9 \n", - "HP:0000316 9 7 7 8 8 \n", - "HP:0000957 8 8 10 8 5 \n", - "HP:0012209 10 7 8 9 8 \n", - "HP:0000494 7 8 11 11 8 \n", - "HP:0004322 8 7 6 7 7 \n", - "HP:0000348 7 7 8 8 7 \n", - "HP:0000508 8 6 6 7 7 \n", - "HP:0000358 11 8 9 9 9 \n", - "HP:0000767 10 8 9 7 7 \n", - "HP:0001655 11 9 9 6 9 \n", - "HP:0000256 9 10 9 9 9 \n", - "HP:0001680 10 8 10 7 9 \n", - "HP:0000483 8 7 7 8 8 \n", - "HP:0001270 10 9 8 9 9 \n", - "HP:0000486 10 8 8 9 9 \n", - "HP:0000465 8 7 7 5 6 \n", - "HP:0000545 9 7 7 8 8 \n", - "HP:0000563 9 10 10 10 10 \n", - "HP:0006699 11 9 9 8 10 \n", - "HP:0002212 0 9 8 9 7 \n", - "HP:0000978 9 0 7 7 5 \n", - "HP:0001561 8 7 0 6 7 \n", - "HP:0001195 9 7 6 0 5 \n", - "HP:0032152 7 5 7 5 0 \n", - "HP:0000028 10 9 9 10 8 \n", - "HP:0001639 11 9 9 6 9 \n", - "HP:0001642 10 8 8 7 9 \n", - "HP:0001631 10 8 8 5 8 \n", - "HP:0000475 8 7 7 5 6 \n", + " HP:0000486 HP:0006699 HP:0000563 HP:0001631 HP:0000483 \\\n", + "HP:0000369 10 12 12 10 9 \n", + "HP:0000316 7 10 7 8 6 \n", + "HP:0000494 9 13 8 11 7 \n", + "HP:0000358 10 12 12 10 9 \n", + "HP:0000348 10 11 10 9 9 \n", + "HP:0000465 9 10 10 7 8 \n", + "HP:0000767 11 11 13 8 10 \n", + "HP:0001270 9 11 12 10 9 \n", + "HP:0000028 11 12 12 9 10 \n", + "HP:0004322 8 9 10 8 7 \n", + "HP:0000957 10 13 9 11 8 \n", + "HP:0002212 10 11 9 10 8 \n", + "HP:0000256 11 12 13 10 10 \n", + "HP:0001561 8 9 10 8 7 \n", + "HP:0032152 9 10 10 8 8 \n", + "HP:0001639 11 10 11 5 10 \n", + "HP:0000545 5 10 5 9 2 \n", + "HP:0001642 10 7 12 8 9 \n", + "HP:0000508 4 9 6 8 3 \n", + "HP:0000978 8 9 10 8 7 \n", + "HP:0000486 0 11 8 10 5 \n", + "HP:0006699 11 0 13 9 10 \n", + "HP:0000563 8 13 0 11 3 \n", + "HP:0001631 10 9 11 0 9 \n", + "HP:0000483 5 10 3 9 0 \n", + "HP:0012209 10 11 11 8 9 \n", + "HP:0001655 11 10 12 1 10 \n", + "HP:0001680 11 11 11 8 10 \n", + "HP:0001195 9 8 10 5 8 \n", + "HP:0000475 9 10 10 7 8 \n", "\n", - " HP:0000028 HP:0001639 HP:0001642 HP:0001631 HP:0000475 \n", - "HP:0000369 11 11 11 10 9 \n", - "HP:0000316 9 9 9 8 8 \n", - "HP:0000957 11 12 12 11 9 \n", - "HP:0012209 9 9 10 8 9 \n", - "HP:0000494 10 11 12 11 9 \n", - "HP:0004322 9 9 8 8 7 \n", - "HP:0000348 10 10 10 9 7 \n", - "HP:0000508 9 9 8 8 7 \n", - "HP:0000358 11 11 11 10 9 \n", - "HP:0000767 10 9 10 8 8 \n", - "HP:0001655 10 6 9 1 8 \n", - "HP:0000256 12 11 11 10 8 \n", - "HP:0001680 12 9 10 8 7 \n", - "HP:0000483 10 10 9 9 8 \n", - "HP:0001270 11 11 10 10 8 \n", - "HP:0000486 11 11 10 10 9 \n", - "HP:0000465 10 8 9 7 2 \n", - "HP:0000545 10 10 9 9 8 \n", - "HP:0000563 12 11 12 11 10 \n", - "HP:0006699 12 10 7 9 10 \n", - "HP:0002212 10 11 10 10 8 \n", - "HP:0000978 9 9 8 8 7 \n", - "HP:0001561 9 9 8 8 7 \n", - "HP:0001195 10 6 7 5 5 \n", - "HP:0032152 8 9 9 8 6 \n", - "HP:0000028 0 10 11 9 10 \n", - "HP:0001639 10 0 9 5 8 \n", - "HP:0001642 11 9 0 8 9 \n", - "HP:0001631 9 5 8 0 7 \n", - "HP:0000475 10 8 9 7 0 \n", + " HP:0012209 HP:0001655 HP:0001680 HP:0001195 HP:0000475 \n", + "HP:0000369 10 11 11 9 9 \n", + "HP:0000316 8 9 8 8 8 \n", + "HP:0000494 12 12 12 11 9 \n", + "HP:0000358 10 11 11 9 9 \n", + "HP:0000348 10 10 8 8 7 \n", + "HP:0000465 9 8 7 5 2 \n", + "HP:0000767 10 9 9 7 8 \n", + "HP:0001270 10 11 11 9 8 \n", + "HP:0000028 9 10 12 10 10 \n", + "HP:0004322 8 9 10 7 7 \n", + "HP:0000957 11 12 11 8 9 \n", + "HP:0002212 10 11 10 9 8 \n", + "HP:0000256 11 11 9 9 8 \n", + "HP:0001561 8 9 10 6 7 \n", + "HP:0032152 8 9 9 5 6 \n", + "HP:0001639 9 6 9 6 8 \n", + "HP:0000545 9 10 10 8 8 \n", + "HP:0001642 10 9 10 7 9 \n", + "HP:0000508 8 9 9 7 7 \n", + "HP:0000978 7 9 8 7 7 \n", + "HP:0000486 10 11 11 9 9 \n", + "HP:0006699 11 10 11 8 10 \n", + "HP:0000563 11 12 11 10 10 \n", + "HP:0001631 8 1 8 5 7 \n", + "HP:0000483 9 10 10 8 8 \n", + "HP:0012209 0 9 11 9 9 \n", + "HP:0001655 9 0 9 6 8 \n", + "HP:0001680 11 9 0 7 7 \n", + "HP:0001195 9 6 7 0 5 \n", + "HP:0000475 9 8 7 5 0 \n", "\n", "[30 rows x 30 columns]" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2323,7 +2323,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -2370,192 +2370,192 @@ " \n", " \n", " 2\n", - " HP:0000957\n", + " HP:0000494\n", " 14\n", " 100.0%\n", - " Cafe-au-lait spot\n", + " Downslanted palpebral fissures\n", " \n", " \n", " 3\n", - " HP:0012209\n", + " HP:0000358\n", " 14\n", " 100.0%\n", - " Juvenile myelomonocytic leukemia\n", + " Posteriorly rotated ears\n", " \n", " \n", " 4\n", - " HP:0000494\n", + " HP:0000348\n", " 14\n", " 100.0%\n", - " Downslanted palpebral fissures\n", + " High forehead\n", " \n", " \n", " 5\n", - " HP:0004322\n", - " 14\n", - " 100.0%\n", - " Short stature\n", + " HP:0000465\n", + " 10\n", + " 71.4%\n", + " Webbed neck\n", " \n", " \n", " 6\n", - " HP:0000348\n", - " 14\n", - " 100.0%\n", - " High forehead\n", + " HP:0000767\n", + " 9\n", + " 64.3%\n", + " Pectus excavatum\n", " \n", " \n", " 7\n", - " HP:0000508\n", - " 14\n", - " 100.0%\n", - " Ptosis\n", + " HP:0001270\n", + " 9\n", + " 64.3%\n", + " Motor delay\n", " \n", " \n", " 8\n", - " HP:0000358\n", - " 14\n", - " 100.0%\n", - " Posteriorly rotated ears\n", + " HP:0000028\n", + " 6\n", + " 42.9%\n", + " Cryptorchidism\n", " \n", " \n", " 9\n", - " HP:0000767\n", - " 13\n", - " 92.9%\n", - " Pectus excavatum\n", + " HP:0004322\n", + " 5\n", + " 35.7%\n", + " Short stature\n", " \n", " \n", " 10\n", - " HP:0001655\n", - " 13\n", - " 92.9%\n", - " Patent foramen ovale\n", + " HP:0000957\n", + " 5\n", + " 35.7%\n", + " Cafe-au-lait spot\n", " \n", " \n", " 11\n", - " HP:0000256\n", - " 13\n", - " 92.9%\n", - " Macrocephaly\n", + " HP:0002212\n", + " 5\n", + " 35.7%\n", + " Curly hair\n", " \n", " \n", " 12\n", - " HP:0001680\n", - " 13\n", - " 92.9%\n", - " Coarctation of aorta\n", + " HP:0000256\n", + " 5\n", + " 35.7%\n", + " Macrocephaly\n", " \n", " \n", " 13\n", - " HP:0000483\n", - " 12\n", - " 85.7%\n", - " Astigmatism\n", + " HP:0001561\n", + " 4\n", + " 28.6%\n", + " Polyhydramnios\n", " \n", " \n", " 14\n", - " HP:0001270\n", - " 12\n", - " 85.7%\n", - " Motor delay\n", + " HP:0032152\n", + " 4\n", + " 28.6%\n", + " Keratosis pilaris\n", " \n", " \n", " 15\n", - " HP:0000486\n", - " 12\n", - " 85.7%\n", - " Strabismus\n", + " HP:0001639\n", + " 3\n", + " 21.4%\n", + " Hypertrophic cardiomyopathy\n", " \n", " \n", " 16\n", - " HP:0000465\n", - " 12\n", - " 85.7%\n", - " Webbed neck\n", + " HP:0000545\n", + " 3\n", + " 21.4%\n", + " Myopia\n", " \n", " \n", " 17\n", - " HP:0000545\n", - " 11\n", - " 78.6%\n", - " Myopia\n", + " HP:0001642\n", + " 3\n", + " 21.4%\n", + " Pulmonic stenosis\n", " \n", " \n", " 18\n", - " HP:0000563\n", - " 11\n", - " 78.6%\n", - " Keratoconus\n", + " HP:0000508\n", + " 3\n", + " 21.4%\n", + " Ptosis\n", " \n", " \n", " 19\n", - " HP:0006699\n", - " 11\n", - " 78.6%\n", - " Premature atrial contractions\n", + " HP:0000978\n", + " 3\n", + " 21.4%\n", + " Bruising susceptibility\n", " \n", " \n", " 20\n", - " HP:0002212\n", - " 11\n", - " 78.6%\n", - " Curly hair\n", + " HP:0000486\n", + " 2\n", + " 14.3%\n", + " Strabismus\n", " \n", " \n", " 21\n", - " HP:0000978\n", - " 11\n", - " 78.6%\n", - " Bruising susceptibility\n", + " HP:0006699\n", + " 1\n", + " 7.1%\n", + " Premature atrial contractions\n", " \n", " \n", " 22\n", - " HP:0001561\n", - " 10\n", - " 71.4%\n", - " Polyhydramnios\n", + " HP:0000563\n", + " 1\n", + " 7.1%\n", + " Keratoconus\n", " \n", " \n", " 23\n", - " HP:0001195\n", - " 10\n", - " 71.4%\n", - " Single umbilical artery\n", + " HP:0001631\n", + " 1\n", + " 7.1%\n", + " Atrial septal defect\n", " \n", " \n", " 24\n", - " HP:0032152\n", - " 9\n", - " 64.3%\n", - " Keratosis pilaris\n", + " HP:0000483\n", + " 1\n", + " 7.1%\n", + " Astigmatism\n", " \n", " \n", " 25\n", - " HP:0000028\n", - " 9\n", - " 64.3%\n", - " Cryptorchidism\n", + " HP:0012209\n", + " 1\n", + " 7.1%\n", + " Juvenile myelomonocytic leukemia\n", " \n", " \n", " 26\n", - " HP:0001639\n", - " 3\n", - " 21.4%\n", - " Hypertrophic cardiomyopathy\n", + " HP:0001655\n", + " 1\n", + " 7.1%\n", + " Patent foramen ovale\n", " \n", " \n", " 27\n", - " HP:0001642\n", - " 3\n", - " 21.4%\n", - " Pulmonic stenosis\n", + " HP:0001680\n", + " 1\n", + " 7.1%\n", + " Coarctation of aorta\n", " \n", " \n", " 28\n", - " HP:0001631\n", + " HP:0001195\n", " 1\n", " 7.1%\n", - " Atrial septal defect\n", + " Single umbilical artery\n", " \n", " \n", " 29\n", @@ -2572,69 +2572,69 @@ " phenotype ID counts occurrence percentage \\\n", "0 HP:0000369 14 100.0% \n", "1 HP:0000316 14 100.0% \n", - "2 HP:0000957 14 100.0% \n", - "3 HP:0012209 14 100.0% \n", - "4 HP:0000494 14 100.0% \n", - "5 HP:0004322 14 100.0% \n", - "6 HP:0000348 14 100.0% \n", - "7 HP:0000508 14 100.0% \n", - "8 HP:0000358 14 100.0% \n", - "9 HP:0000767 13 92.9% \n", - "10 HP:0001655 13 92.9% \n", - "11 HP:0000256 13 92.9% \n", - "12 HP:0001680 13 92.9% \n", - "13 HP:0000483 12 85.7% \n", - "14 HP:0001270 12 85.7% \n", - "15 HP:0000486 12 85.7% \n", - "16 HP:0000465 12 85.7% \n", - "17 HP:0000545 11 78.6% \n", - "18 HP:0000563 11 78.6% \n", - "19 HP:0006699 11 78.6% \n", - "20 HP:0002212 11 78.6% \n", - "21 HP:0000978 11 78.6% \n", - "22 HP:0001561 10 71.4% \n", - "23 HP:0001195 10 71.4% \n", - "24 HP:0032152 9 64.3% \n", - "25 HP:0000028 9 64.3% \n", - "26 HP:0001639 3 21.4% \n", - "27 HP:0001642 3 21.4% \n", - "28 HP:0001631 1 7.1% \n", + "2 HP:0000494 14 100.0% \n", + "3 HP:0000358 14 100.0% \n", + "4 HP:0000348 14 100.0% \n", + "5 HP:0000465 10 71.4% \n", + "6 HP:0000767 9 64.3% \n", + "7 HP:0001270 9 64.3% \n", + "8 HP:0000028 6 42.9% \n", + "9 HP:0004322 5 35.7% \n", + "10 HP:0000957 5 35.7% \n", + "11 HP:0002212 5 35.7% \n", + "12 HP:0000256 5 35.7% \n", + "13 HP:0001561 4 28.6% \n", + "14 HP:0032152 4 28.6% \n", + "15 HP:0001639 3 21.4% \n", + "16 HP:0000545 3 21.4% \n", + "17 HP:0001642 3 21.4% \n", + "18 HP:0000508 3 21.4% \n", + "19 HP:0000978 3 21.4% \n", + "20 HP:0000486 2 14.3% \n", + "21 HP:0006699 1 7.1% \n", + "22 HP:0000563 1 7.1% \n", + "23 HP:0001631 1 7.1% \n", + "24 HP:0000483 1 7.1% \n", + "25 HP:0012209 1 7.1% \n", + "26 HP:0001655 1 7.1% \n", + "27 HP:0001680 1 7.1% \n", + "28 HP:0001195 1 7.1% \n", "29 HP:0000475 0 0.0% \n", "\n", " phenotype label \n", "0 Low-set ears \n", "1 Hypertelorism \n", - "2 Cafe-au-lait spot \n", - "3 Juvenile myelomonocytic leukemia \n", - "4 Downslanted palpebral fissures \n", - "5 Short stature \n", - "6 High forehead \n", - "7 Ptosis \n", - "8 Posteriorly rotated ears \n", - "9 Pectus excavatum \n", - "10 Patent foramen ovale \n", - "11 Macrocephaly \n", - "12 Coarctation of aorta \n", - "13 Astigmatism \n", - "14 Motor delay \n", - "15 Strabismus \n", - "16 Webbed neck \n", - "17 Myopia \n", - "18 Keratoconus \n", - "19 Premature atrial contractions \n", - "20 Curly hair \n", - "21 Bruising susceptibility \n", - "22 Polyhydramnios \n", - "23 Single umbilical artery \n", - "24 Keratosis pilaris \n", - "25 Cryptorchidism \n", - "26 Hypertrophic cardiomyopathy \n", - "27 Pulmonic stenosis \n", - "28 Atrial septal defect \n", + "2 Downslanted palpebral fissures \n", + "3 Posteriorly rotated ears \n", + "4 High forehead \n", + "5 Webbed neck \n", + "6 Pectus excavatum \n", + "7 Motor delay \n", + "8 Cryptorchidism \n", + "9 Short stature \n", + "10 Cafe-au-lait spot \n", + "11 Curly hair \n", + "12 Macrocephaly \n", + "13 Polyhydramnios \n", + "14 Keratosis pilaris \n", + "15 Hypertrophic cardiomyopathy \n", + "16 Myopia \n", + "17 Pulmonic stenosis \n", + "18 Ptosis \n", + "19 Bruising susceptibility \n", + "20 Strabismus \n", + "21 Premature atrial contractions \n", + "22 Keratoconus \n", + "23 Atrial septal defect \n", + "24 Astigmatism \n", + "25 Juvenile myelomonocytic leukemia \n", + "26 Patent foramen ovale \n", + "27 Coarctation of aorta \n", + "28 Single umbilical artery \n", "29 Broad neck " ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2655,12 +2655,12 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2676,7 +2676,7 @@ "phenotype_labels = list(all_phenotype_counts_df['phenotype label'])\n", "\n", "plt.figure(figsize=(8, 6))\n", - "scatter = plt.scatter(positions[:, 0], positions[:, 1], marker='o', c=all_phenotype_counts_df['counts'], cmap='inferno', s=100)\n", + "scatter = plt.scatter(positions[:, 0], positions[:, 1], marker='o', c=all_phenotype_counts_df['counts'], cmap='plasma', s=100)\n", "\n", "for phenotype_id, label, x, y in zip(phenotypes_dist_matrix_df.index, phenotype_labels, positions[:, 0], positions[:, 1]):\n", " if phenotype_id in observed_phenotype_ids:\n",