<p>An ensemble approach for gene set testing analysiswith reporting capabilities</p>

Monther Alhamdoosh; Luyi Tian; Milica Ng; Matthew E. Ritchie

doi:10.7490/f1000research.1114559.1

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Alhamdoosh M, Tian L, Ng M and Ritchie ME. An ensemble approach for gene set testing analysiswith reporting capabilities [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1310 (poster) (https://doi.org/10.7490/f1000research.1114559.1)

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An ensemble approach for gene set testing analysiswith reporting capabilities

Monther Alhamdoosh¹, Luyi Tian, Milica Ng, Matthew E. Ritchie²

Published 03 Aug 2017 (https://doi.org/10.7490/f1000research.1114559.1)

Author Affiliations

¹ CSL Limited, Australia
² The Walter and Eliza Hall Institute of Medical Research, Australia

Copyright © 2017 Alhamdoosh M et al. 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 03 Aug 2017

An ensemble approach for gene set testing analysiswith reporting capabilities
[version 1; not peer reviewed]

Monther Alhamdoosh¹, Luyi Tian, Milica Ng, Matthew E. Ritchie²

Author Affiliations

¹ CSL Limited, Australia
² The Walter and Eliza Hall Institute of Medical Research, Australia

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

18th Annual Bioinformatics Open Source Conference (BOSC 2017)

Abstract

Competing Interests

M. Alhamdoosh and M. Ng are employees of CSL Limited.

Keywords

Gene set testing, ensemble, reporting

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