<p>Survival prediction using microarray data – A topic modeling approach</p>

Luke N. Kumar; Russell Greiner

doi:10.7490/f1000research.1112918.1

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Kumar LN and Greiner R. Survival prediction using microarray data – A topic modeling approach [version 1; not peer reviewed]. F1000Research 2016, 5:2071 (poster) (https://doi.org/10.7490/f1000research.1112918.1)

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Survival prediction using microarray data – A topic modeling approach

Luke N. Kumar¹, Russell Greiner

Published 24 Aug 2016 (https://doi.org/10.7490/f1000research.1112918.1)

Author Affiliations

¹ University of Alberta, Canada

Copyright © 2016 Kumar LN and Greiner R. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 24 Aug 2016

Survival prediction using microarray data – A topic modeling approach
[version 1; not peer reviewed]

Luke N. Kumar¹, Russell Greiner

Author Affiliations

¹ University of Alberta, Canada

Presented at

The 33rd International Conference on Machine Learning (ICML) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Survival prediction, gene expression, topic models, Latent Dirichlet Allocation, multi-task logistic regression

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