Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering-Reference-Cited by-同舟云学术

Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering

Published:2017-07-26 Issue:22 Volume:33 Page:3558-3566
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ahmad Ashar¹,Fröhlich Holger¹²

Affiliation:

1. Bonn Aachen International Center for Information Technology, University of Bonn, Bonn, Germany

2. UCB Biosciences GmbH, Monheim, Germany

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/33/22/3558/25167508/btx464.pdf

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