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 | 23.11.2020  | Helena | hands-on session #2: cytometry  | cytof null comparison | [Genome-wide detection of intervals of genetic heterogeneity associated with complex traits](https://academic.oup.com/bioinformatics/article/31/12/i240/216593) (Richard Affolter, Philip Hartout, Martin Emons) | [Empirical Bayes Analysis of a Microarray Experiment](https://www.tandfonline.com/doi/abs/10.1198/016214501753382129) (Jennifer Probst, Eljas Röllin, Lisa Herzog) |
 | 30.11.2020  | Mark | single-cell 2: cell type definition, differential state  | scRNA exercise 2 | [A Bayesian mixture model for the analysis of allelic expression in single cells](https://doi.org/10.1038/s41467-019-13099-0) (Sneha-Sundar,SmaragdaDimitrakopoulou,marinapanteli) | [scMET: Bayesian modelling of DNA methylation heterogeneity at single-cell resolution](https://www.biorxiv.org/content/10.1101/2020.07.10.196816v2) (MW, RM, DW) |
 | 07.12.2020  | Pierre-Luc | hands-on session #3: single-cell RNA-seq  | full scRNA-seq pipeline | [ScreenBEAM: a novel meta-analysis algorithm for functional genomics screens via Bayesian hierarchical   modeling](https://academic.oup.com/bioinformatics/article/32/2/260/1743949) (Leonor Schubert, Jonathan   Haab, Flavio Rump) | [Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data](https://www.biorxiv.org/content/10.1101/711929v3) (TE, RB, AB)
-| 14.12.2020  | Mark | loose ends: HMM, EM, robustness   | segmentation, peak finding | [NEBULA: a fast negative binomial mixed model for differential expression and co-expression analyses of large-scale multi-subject single-cell data](https://www.biorxiv.org/content/10.1101/2020.09.24.311662v1) (HML, SCD, SW) | [A test metric for assessing single-cell RNA-seq batch correction](https://www.nature.com/articles/s41592-018-0254-1) (Dimitri Schmid, Lola Kouroma, Jonas Bucher) |
+| 14.12.2020  | Mark | loose ends: HMM, EM, robustness   | segmentation, peak finding | [NEBULA: a fast negative binomial mixed model for differential expression and co-expression analyses of large-scale multi-subject single-cell data](https://www.biorxiv.org/content/10.1101/2020.09.24.311662v1) (HML, SCD, SW) | [A test metric for assessing single-cell RNA-seq batch correction](https://www.nature.com/articles/s41592-018-0254-1) (Dimitri Schmid, Lola Kouroma, Jonas Bucher); [AUC-RF: A New Strategy for Genomic Profiling with Random Forest](https://www.karger.com/Article/Abstract/330778) (Jonas Meirer, Dominique Paul) |