<p>Multi-omics data analysis in the cloud: inference of differential breast cancer-related network hubs between TCGA patient cohorts.</p>

Kawther Abdilleh; Boris Aguilar; Ronald Taylor; George Acquaah-Mensah

doi:10.7490/f1000research.1118296.1

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Abdilleh K, Aguilar B, Taylor R and Acquaah-Mensah G. Multi-omics data analysis in the cloud: inference of differential breast cancer-related network hubs between TCGA patient cohorts. [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1071 (poster) (https://doi.org/10.7490/f1000research.1118296.1)

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Multi-omics data analysis in the cloud: inference of differential breast cancer-related network hubs between TCGA patient cohorts.

Kawther Abdilleh, Boris Aguilar, Ronald Taylor, George Acquaah-Mensah¹

Published 31 Aug 2020 (https://doi.org/10.7490/f1000research.1118296.1)

Author Affiliations

¹ Massachusetts College of Pharmacy and Health Sciences, USA

Copyright © 2020 Abdilleh K 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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Published 31 Aug 2020

Multi-omics data analysis in the cloud: inference of differential breast cancer-related network hubs between TCGA patient cohorts.
[version 1; not peer reviewed]

Kawther Abdilleh, Boris Aguilar, Ronald Taylor, George Acquaah-Mensah¹

Author Affiliations

¹ Massachusetts College of Pharmacy and Health Sciences, USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

BigQuery, SQL, Transcriptional Regulatory Networks, TCGA, Black or African-Amrican, White, breast cancer, stage II, fifty years old or younger

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