Predicting master transcription factors from pan-cancer expression data

Author(s)
Young, Richard
Thumbnail
DownloadPublished version (7.791Mb)
Publisher with Creative Commons License
Terms of use
Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/
Metadata
Show full item record
Abstract
<jats:p>The CaCTS algorithm nominates cancer cell master transcription factors and guides a model of ovarian cancer regulatory circuitry.</jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/147014
Department
Massachusetts Institute of Technology. Department of Biology
Journal
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
Collections