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Q-omics: Smart Software for Assisting Oncology and Cancer Research

Molecules and cells, v.44 no.11, 2021년, pp.843 - 850  

Lee, Jieun (Department of Biological Sciences, Sookmyung Women's University) ,  Kim, Youngju (Department of Biological Sciences, Sookmyung Women's University) ,  Jin, Seonghee (Department of Biological Sciences, Sookmyung Women's University) ,  Yoo, Heeseung (Department of Biological Sciences, Sookmyung Women's University) ,  Jeong, Sumin (Department of Biological Sciences, Sookmyung Women's University) ,  Jeong, Euna (Research Institute of Women's Health, Sookmyung Women's University) ,  Yoon, Sukjoon (Department of Biological Sciences, Sookmyung Women's University)

Abstract AI-Helper 아이콘AI-Helper

The rapid increase in collateral omics and phenotypic data has enabled data-driven studies for the fast discovery of cancer targets and biomarkers. Thus, it is necessary to develop convenient tools for general oncologists and cancer scientists to carry out customized data mining without computationa...

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