Combinatorial prediction of marker panels from single‐cell transcriptomic data

Combinatorial prediction of marker panels from single‐cell transcriptomic data

Single-cell transcriptomic studies are identifying novel cell populations with exciting functional roles in various in vivo contexts, but identification of succinct gene marker panels for such populations remains a challenge. In this work, we introduce COMET, a computational framework for the identi...

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Bibliographic Details
Main Authors: Regev, Aviv, Kuchroo, Vijay K, Singer, Meromit
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: EMBO 2020
Subjects:
General Biochemistry, Genetics and Molecular Biology
Computational Theory and Mathematics
General Immunology and Microbiology
Applied Mathematics
General Agricultural and Biological Sciences
Information Systems
Online Access:https://hdl.handle.net/1721.1/124945

Internet

https://hdl.handle.net/1721.1/124945

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