<p>Drowning in omics data? : Q-omics, a smart software for assisting oncology and cancer research</p>

Jieun Lee; Youngju Kim; Euna Jeong; Sukjoon Yoon

doi:10.7490/f1000research.1118896.1

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Lee J, Kim Y, Jeong E and Yoon S. Drowning in omics data? : Q-omics, a smart software for assisting oncology and cancer research [version 1; not peer reviewed]. F1000Research 2021, 10:1268 (poster) (https://doi.org/10.7490/f1000research.1118896.1)

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Drowning in omics data? : Q-omics, a smart software for assisting oncology and cancer research

Jieun Lee, Youngju Kim, Euna Jeong, Sukjoon Yoon¹

Published 10 Dec 2021 (https://doi.org/10.7490/f1000research.1118896.1)

Author Affiliations

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

Copyright © 2021 Lee J 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

Drowning in omics data? : Q-omics, a smart software for assisting oncology and cancer research
[version 1; not peer reviewed]

Jieun Lee, Youngju Kim, 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

omics data mining, smart software, cancer bioinformatics, association study, biomarker

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