Cell lineage and communication network inference via optimization for single-cell transcriptomics-Reference-Cited by-同舟云学术

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Cell lineage and communication network inference via optimization for single-cell transcriptomics

Published:2019-03-29 Issue:11 Volume:47 Page:e66-e66
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Wang Shuxiong¹,Karikomi Matthew¹,MacLean Adam L¹²^ORCID,Nie Qing¹³

Affiliation:

1. Department of Mathematics, University of California, Irvine, CA 92697, USA

2. Department of Biological Sciences, University of Southern California, Irvine, CA 90089, USA

3. Department of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA

Funder

National Institutes of Health

National Science Foundation

Simons Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/47/11/e66/28837989/gkz204.pdf

Reference88 articles.

1. Transition states and cell fate decisions in epigenetic landscapes;Moris;Nat. Rev. Genet.,2016

2. Exploring intermediate cell states through the lens of single cells;MacLean;Curr. Opin. Syst. Biol.,2018

3. Exponential scaling of single-cell RNA-seq in the past decade;Svensson;Nat. Protoc.,2018

4. Single cells make big data: New challenges and opportunities in transcriptomics;Angerer;Curr. Opin. Syst. Biol.,2017

5. Single-cell landscape of transcriptional heterogeneity and cell fate decisions during mouse early gastrulation;Mohammed;Cell Rep.,2017

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