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 Ford HealthFollow
Henry Long
Matthew L. Freedman
Ronny Drapkin
Richard A. Young
Brian J. Abraham
Kate Lawrenson

Recommended Citation

Reddy J, Fonseca MAS, Corona RI, Nameki R, Segato Dezem F, Klein IA, Chang H, Chaves-Moreira D, Afeyan LK, Malta TM, Lin X, Abbasi F, Font-Tello A, Sabedot T, Cejas P, Rodríguez-Malavé N, Seo JH, Lin DC, Matulonis U, Karlan BY, Gayther SA, Pasaniuc B, Gusev A, Noushmehr H, Long H, Freedman ML, Drapkin R, Young RA, Abraham BJ, and Lawrenson K. Predicting master transcription factors from pan-cancer expression data. Sci Adv 2021; 7(48).

Document Type

Article

Publication Date

11-26-2021

Publication Title

Sci Adv

PubMed ID

34818047

Volume

7

Issue

48

First Page

6123

Last Page

6123