<p>Uncovering robust patterns of microRNA co-expression across cancers using bayesian relevance networks</p>

Parameswaran Ramachandran; Daniel Sánchez-Taltavull; Theodore J. Perkins

doi:10.7490/f1000research.1114248.1

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Ramachandran P, Sánchez-Taltavull D and Perkins TJ. Uncovering robust patterns of microRNA co-expression across cancers using bayesian relevance networks [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):880 (slides) (https://doi.org/10.7490/f1000research.1114248.1)

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Uncovering robust patterns of microRNA co-expression across cancers using bayesian relevance networks

Parameswaran Ramachandran, Daniel Sánchez-Taltavull, Theodore J. Perkins¹

Published 13 Jun 2017 (https://doi.org/10.7490/f1000research.1114248.1)

Author Affiliations

¹ Ottawa Health Research Institute, Canada

Copyright © 2017 Ramachandran P 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 13 Jun 2017

Uncovering robust patterns of microRNA co-expression across cancers using bayesian relevance networks
[version 1; not peer reviewed]

Parameswaran Ramachandran, Daniel Sánchez-Taltavull, Theodore J. Perkins¹

Author Affiliations

¹ Ottawa Health Research Institute, Canada

Presented at

Great Lakes Bioinformatics (GLBIO) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Co-expression, bayesian methods, high throughput sequencing, relevance networks, microRNA, cancer

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