Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe-Reference-Cited by-同舟云学术

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Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe

Published:2020-03 Issue:3 Volume:10 Page:265-274.e11
ISSN:2405-4712
Container-title:Cell Systems
language:en
Short-container-title:Cell Systems

Author:

Qiu Xiaojie,Rahimzamani Arman,Wang Li,Ren Bingcheng,Mao Qi,Durham Timothy,McFaline-Figueroa José L.,Saunders Lauren,Trapnell Cole,Kannan Sreeram

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference70 articles.

1. SCENIC: single-cell regulatory network inference and clustering;Aibar;Nat. Methods,2017

2. Network motifs: theory and experimental approaches;Alon;Nat. Rev. Genet.,2007

3. Unbiased reconstruction of a mammalian transcriptional network mediating pathogen responses;Amit;Science,2009

4. Learning regulatory models for cell development from single cell transcriptomic data;Babtie;Curr. Opin. Syst. Biol.,2017

5. Studying and modelling dynamic biological processes using time-series gene expression data;Bar-Joseph;Nat. Rev. Genet.,2012

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