De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization-Reference-Cited by-同舟云学术

De novo gene signature identification from single‐cell RNA ‐seq with hierarchical Poisson factorization

Published:2019-02 Issue:2 Volume:15 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Levitin Hanna Mendes¹,Yuan Jinzhou¹,Cheng Yim Ling¹,Ruiz Francisco JR²³,Bush Erin C¹⁴,Bruce Jeffrey N⁵,Canoll Peter⁶^ORCID,Iavarone Antonio⁶⁷⁸,Lasorella Anna⁶⁷⁹,Blei David M²¹⁰^ORCID,Sims Peter A¹⁴¹¹^ORCID

Affiliation:

1. Department of Systems Biology Columbia University Irving Medical Center New York NY USA

2. Department of Computer Science Columbia University New York NY USA

3. Department of Engineering University of Cambridge Cambridge UK

4. Sulzberger Columbia Genome Center Columbia University Irving Medical Center New York NY USA

5. Department of Neurological Surgery Columbia University Irving Medical Center New York NY USA

6. Department of Pathology and Cell Biology Columbia University Irving Medical Center New York NY USA

7. Institute for Cancer Genetics Columbia University Irving Medical Center New York NY USA

8. Department of Neurology Columbia University Irving Medical Center New York NY USA

9. Department of Pediatrics Columbia University Irving Medical Center New York NY USA

10. Department of Statistics Columbia University New York NY USA

11. Department of Biochemistry and Molecular Biophysics Columbia University Irving Medical Center New York NY USA

Funder

Horizon 2020 Framework Programme

Office of Naval Research

National Institutes of Health

National Cancer Institute

National Institute of Biomedical Imaging and Bioengineering

National Institute of Neurological Disorders and Stroke

John Simon Guggenheim Memorial Foundation

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20188557

Reference49 articles.

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5. Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer

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