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Predicting master transcription factors from pan-cancer expression data
Critical developmental “master transcription factors” (MTFs) can be subverted during tumorigenesis to control oncogenic transcriptional programs. Current approaches to identifying MTFs rely on ChIP-seq data, which is unavailable for many cancers. We developed the CaCTS (Cancer Core Transcription fac...
Autores principales: | Reddy, Jessica, Fonseca, Marcos A. S., Corona, Rosario I., Nameki, Robbin, Segato Dezem, Felipe, Klein, Isaac A., Chang, Heidi, Chaves-Moreira, Daniele, Afeyan, Lena K., Malta, Tathiane M., Lin, Xianzhi, Abbasi, Forough, Font-Tello, Alba, Sabedot, Thais, Cejas, Paloma, Rodríguez-Malavé, Norma, Seo, Ji-Heui, Lin, De-Chen, Matulonis, Ursula, Karlan, Beth Y., Gayther, Simon A., Pasaniuc, Bogdan, Gusev, Alexander, Noushmehr, Houtan, Long, Henry, Freedman, Matthew L., Drapkin, Ronny, Young, Richard A., Abraham, Brian J., Lawrenson, Kate |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612691/ https://www.ncbi.nlm.nih.gov/pubmed/34818047 http://dx.doi.org/10.1126/sciadv.abf6123 |
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