Driver gene mutations based clustering of tumors: methods and applications-Reference-Cited by-同舟云学术

Driver gene mutations based clustering of tumors: methods and applications

Published:2018-06-27 Issue:13 Volume:34 Page:i404-i411
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zhang Wensheng¹,Flemington Erik K²,Zhang Kun¹

Affiliation:

1. Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, USA

2. Department of Pathology, Tulane School of Medicine, Tulane Cancer Center, Tulane University, New Orleans, LA, USA

Funder

National Institutes of Health

U.S. Army Research Laboratory's Army Research Office

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/34/13/i404/25098508/bty232.pdf

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4. A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization;Kim;Bioinformatics,2015

5. Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer;Kim;Mol. Cancer,2010

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