Open AccessLinnorm: improved statistical analysis for single cell RNA-seq expression data
Author(s) -
Shun H. Yip,
Panwen Wang,
Jean-Pierre A. Kocher,
Pak C. Sham,
Junwen Wang
Publication year - 2017
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkx1189
Subject(s) - biology , rna seq , computational biology , rna , genetics , expression (computer science) , statistical analysis , gene expression , microbiology and biotechnology , transcriptome , gene , statistics , computer science , mathematics , programming language
1Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 2Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA, 3School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4Department of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 5State Key Laboratory in Cognitive and Brain Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China and 6Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA
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