DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data-Reference-Cited by-同舟云学术

DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data

Published:2017-08-02 Issue:1 Volume:34 Page:139-146
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Sun Zhe¹,Wang Ting²^ORCID,Deng Ke³,Wang Xiao-Feng⁴,Lafyatis Robert⁵,Ding Ying¹,Hu Ming⁴,Chen Wei¹²

Affiliation:

1. Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA

2. Division of Pulmonary Medicine, Allergy and Immunology and Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, USA

3. Center for Statistical Science, Tsinghua University, Beijing, China

4. Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA

5. Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA

Funder

National Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/1/139/25416964/btx490.pdf

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