<p>Landscaping prognostic gene expression and anticancer targets using sample and lineage consensus scores derived from pan-cancer omics data</p>

Youngju Kim; Jieun Lee; Euna Jeong; Sukjoon Yoon

doi:10.7490/f1000research.1118895.1

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Kim Y, Lee J, Jeong E and Yoon S. Landscaping prognostic gene expression and anticancer targets using sample and lineage consensus scores derived from pan-cancer omics data [version 1; not peer reviewed]. F1000Research 2021, 10:1267 (poster) (https://doi.org/10.7490/f1000research.1118895.1)

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Landscaping prognostic gene expression and anticancer targets using sample and lineage consensus scores derived from pan-cancer omics data

Youngju Kim, Jieun Lee, Euna Jeong, Sukjoon Yoon¹

Published 10 Dec 2021 (https://doi.org/10.7490/f1000research.1118895.1)

Author Affiliations

¹ Department of Biological Sciences, Sookmyung Women's University, South Korea

Copyright © 2021 Kim Y 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 10 Dec 2021

Landscaping prognostic gene expression and anticancer targets using sample and lineage consensus scores derived from pan-cancer omics data
[version 1; not peer reviewed]

Youngju Kim, Jieun Lee, Euna Jeong, Sukjoon Yoon¹

Author Affiliations

¹ Department of Biological Sciences, Sookmyung Women's University, South Korea

Presented at

Pacific Symposium on Biocomputing (PSB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

consensus, prognostic gene expression, multi-omics data

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