Predicting master transcription factors from pan-cancer expression data
Author(s)
Young, Richard
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Show full item recordAbstract
<jats:p>The CaCTS algorithm nominates cancer cell master transcription factors and guides a model of ovarian cancer regulatory circuitry.</jats:p>
Date issued
2021Department
Massachusetts Institute of Technology. Department of BiologyJournal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Young, Richard. 2021. "Predicting master transcription factors from pan-cancer expression data." Science Advances, 7 (48).
Version: Final published version