Publication

Confronting false discoveries in single-cell differential expression

Grégoire Courtine, Gioele La Manno, Quentin Barraud, Jordan Squair, Matthieu Pierre Gautier, Nicholas David James, Mark Andrew Anderson, Thomas Haynes Hutson, Michael Alexander Skinnider
2021
Journal Articles

Abstract

Differential expression analysis of single-cell transcriptomics allows scientists to dissect cell-type-specific responses to biological perturbations. Here, the authors show that many commonly used methods are biased and can produce false discoveries.

Official source

https://infoscience.epfl.ch/entities/publication/ece2af44-647d-4aec-8531-6c5531ebe518

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Confronting false discoveries in single-cell differential expression

Chat with Graph Search

Multimodal transcriptomic atlases of mouse spinal cord injury

Exploration and modulation of mechanical cues for enhanced cancer immunotherapy

Accessible and highly observable gastrointestinal organoid model systems for studying host-pathogen interactions