Predicting master transcription factors from pan-cancer expression data

Authors: Jessica Reddy, Marcos A. S. Fonseca, Rosario I. Corona, Robbin Nameki, Felipe Segato Dezem, Isaac A. Klein, Heidi Chang, Daniele Chaves-Moreira, Lena K. Afeyan, Tathiane M. Malta, Xianzhi Lin, Forough Abbasi, Alba Font-Tello, Thais Sabedot, Paloma Cejas, Norma Rodríguez-Malavé, Ji-Heui Seo, De-Chen Lin, Ursula Matulonis, Beth Y. Karlan, Simon A. Gayther, Bogdan Pasaniuc, Alexander Gusev, Houtan Noushmehr, Henry Long, Matthew L. Freedman, Ronny Drapkin, Richard A. Young, Brian J. Abraham, Kate Lawrenson

Published: 2021-11-24

DOI: 10.1126/sciadv.abf6123

Source: Full article

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Abstract

The CaCTS algorithm nominates cancer cell master transcription factors and guides a model of ovarian cancer regulatory circuitry.