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[WIP]

This is a heavily adapted fork of the Transformer-XL repository (https://github.com/kimiyoung/transformer-xl)

This repository includes the code applied for the following two articles


Novel transformer networks for improved sequence labeling in genomics

Jim Clauwaert, Willem Waegeman

https://www.biorxiv.org/content/10.1101/836163v1


An in-depth evaluation of annotated transcription start sites in E. coli using deep learning

Jim Clauwaert, Gerben Menschaert, Willem Waegeman

To be submitted ---

Novel transformer networks for improved sequence labeling in genomics

Data

data
├── eco_regulon
│   ├── eco_regulon_70.npy
├── eco_TIS
│   ├── eco_TIS.npy
├── eco_SMRTmeth
│   ├── eco_m4c.npy

Train models

run_m4c.sh
run_TIS.sh
run_TSS.sh

An in-depth evaluation of annotated transcription start sites in E. coli using deep learning

Data

data
├── eco_regulon
│   ├── eco_regulon_strong.npy
├── eco_capseq
│   ├── eco_rm_capseq.npy
├── eco_smrtcapseq
│   ├── eco_smrt_capseq.npy
├── eco_SEndseq
│   ├── eco_SEndseq.npy
├── eco_custom
│   ├── eco_custom.npy

Train models

run_regulon.sh
run_cappable.sh
run_smrtcappable.sh
run_send.sh
run_custom.sh

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  • Python 94.1%
  • Shell 5.9%