BCseq: accurate single cell RNA-seq quantification with bias correction-Reference-Cited by-同舟云学术

BCseq: accurate single cell RNA-seq quantification with bias correction

Published:2018-04-30 Issue:14 Volume:46 Page:e82-e82
ISSN:0305-1048
Container-title:Nucleic Acids Research
language:en
Short-container-title:

Author:

Chen Liang¹,Zheng Sika²

Affiliation:

1. Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA

2. Division of Biomedical Sciences, School of Medicine, University of California Riverside, 900 University Ave, Riverside, CA 92521, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics

Link

http://academic.oup.com/nar/article-pdf/46/14/e82/25509597/gky308.pdf

Reference27 articles.

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2. Single-Cell alternative splicing analysis with expedition reveals splicing dynamics during neuron differentiation;Song;Mol. Cell,2017

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4. A two-parameter generalized Poisson model to improve the analysis of RNA-seq data;Srivastava;Nucleic Acids Res.,2010

5. WemIQ: an accurate and robust isoform quantification method for RNA-seq data;Zhang;Bioinformatics,2015

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