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:speech_balloon: Talk comparing two recent methods for differential expression analysis with single-cell RNA-seq data

Home Page: https://statistics.berkeley.edu/~nhejazi/present/2018_zinbwave_droplasso.pdf

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lasso-regression negative-binomial-distribution zero-inflated generalized-linear-models single-cell-rna-seq computational-biology

talk_scrna_diffexp's Introduction

Talk on differential expression analysis with scRNA-seq data

Materials for a presentation given at a meeting of the Computational Biology Doctoral Seminar, Spring 2018, organized by Nir Yosef, University of California, Berkeley


This talk is a presentation of the following two papers

  1. "ZINB-WaVE: A general and flexible method for signal extraction from single-cell RNA-seq data," (Risso et al., 2017), available here.

  2. "DropLasso: A robust variant of Lasso for single cell RNA-seq data," (Vert et al., 2018), available here.

Slides from the presentation are available here.

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