A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumors-Reference-Cited by-同舟云学术

A cluster robustness score for identifying cell subpopulations in single cell gene expression datasets from heterogeneous tissues and tumors

Published:2018-08-28 Issue:6 Volume:35 Page:962-971
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kanter Itamar¹,Dalerba Piero²,Kalisky Tomer¹^ORCID

Affiliation:

1. Department of Bioengineering and Bar-Ilan Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat Gan, Israel

2. Department of Pathology and Cell Biology, Department of Medicine (Division of Digestive and Liver Diseases), Herbert Irving Comprehensive Cancer Center (HICCC), and the Columbia Stem Cell Initiative (CSCI), Columbia University, New York, NY, USA

Funder

Israel Science Foundation

Israel Cancer Association

Israel Ministry of Health

Marie Curie International Reintegration

Runyon-Rachleff Innovator Award

Island Outreach Foundation

Damon Runyon Cancer Research Foundation

Schaefer Research Scholars Program

Columbia University’s College of Physicians and Surgeons

Adenoid Cystic Carcinoma Research Foundation

ACCRF

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/35/6/962/28079230/bty708.pdf

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