scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets-Reference-Cited by-同舟云学术

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scLM: Automatic Detection of Consensus Gene Clusters Across Multiple Single-cell Datasets

Published:2021-04 Issue:2 Volume:19 Page:330-341
ISSN:1672-0229
Container-title:Genomics, Proteomics & Bioinformatics
language:en
Short-container-title:Genomics, Proteomics & Bioinformatics

Author:

Song Qianqian^ORCID,Su Jing^ORCID,Miller Lance D.^ORCID,Zhang Wei^ORCID

Funder

National Foundation for Cancer Research

Indiana University

National Cancer Institute

Comprehensive Cancer Center at Wake Forest Baptist Medical Center

Publisher

Elsevier BV

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Reference55 articles.

1. Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis;Ferrari;Mol Neurodegener,2016

2. Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types;Yang;Nat Commun,2014

3. A gene-coexpression network for global discovery of conserved genetic modules;Stuart;Science,2003

4. A cancer cell program promotes T cell exclusion and resistance to checkpoint blockade;Jerby-Arnon;Cell,2018

5. A distinct gene module for dysfunction uncoupled from activation in tumor-infiltrating T cells;Singer;Cell,2017

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