Papers

November 9, 2020

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

Brent M. Kuenzi, Jisoo Park, Samson H. Fong, Kyle S. Sanchez, John Lee, Jason F. Kreisberg, Jianzhu Ma, Trey Ideker

1 October, 2021

Interpretation of cancer mutations using a multiscale map of protein systems

Fan Zheng, Marcus R. Kelly, Dana J. Ramms, Marissa L. Heintschel, Kai Tao, Beril Tutuncuoglu, John J. Lee, Keiichiro Ono, Helene Foussard, [...], Trey Ideker

September 22, 2021

Biologically informed deep neural network for prostate cancer discovery

Haitham A. Elmarakeby, Justin Hwang, Rand Arafeh, Jett Crowdis, Sydney Gang, David Liu, Saud H. AlDubayan, Keyan Salari, Steven Kregel, Camden Richter, Taylor E. Arnoff, Jihye Park, William C. Hahn & Eliezer M. Van Allen

June 20, 2022

Genome-wide mapping of somatic mutation rates uncovers drivers of cancer

Maxwell A. Sherman, Adam U. Yaari, Oliver Priebe, Felix Dietlein, Po-Ru Loh, Bonnie Berger

May 4, 2021

Multi-resolution modeling of a discrete stochastic process identifies causes of cancer

Adam Yaari, Maxwell Sherman, Oliver C Priebe, Po-Ru Loh, Boris Katz, Andrei Barbu, Bonnie Berger

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