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, [...], William C. Hahn & Eliezer M. Van Allen
June 21, 2023
A multi-scale map of protein assemblies in the DNA damage response
Anton Kratz, Minkyu Kim, Marcus R. Kelly, Fan Zheng, Christopher A. Koczor, Jianfeng Li, Keiichiro Ono, Yue Qin, Christopher Churas, [...], & Trey Ideker
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
March 22, 2024
Adam Yaari, Eduardo Farias, Francisco Guedes, Oliver Priebe, Lee McDaniel, Tyler Earnest, Trey Ideker, & Maxwell Sherman
March 5, 2024
Sungjoon Park, Erica Silva, Akshat Singhal, Marcus R. Kelly, Kate Licon, Isabella Panagiotou, Catalina Fogg, Samson Fong, [...], & Trey Ideker
March 1, 2024
Xiaoyu Zhao, Akshat Singhal, Sungjoon Park, JungHo Kong, Robin Bachelder, & Trey Ideker
December 1, 2023
Adam Yaari, Lee McDaniel, Antoine Simoneau, Samuel Meier, Oliver Priebe, Eduardo Farias, Alan Huang, Jannik Andersen, Yi Yu, & Maxwell Sherman
June 20, 2022
Genome-wide mapping of somatic mutation rates uncovers drivers of cancer
Maxwell Sherman, Adam Yaari, Oliver Priebe, Felix Dietlein, Po-Ru Loh, & Bonnie Berger
Articles
Jun 22, 2022
Digging into the dark matter of the genome to uncover mutations that drive cancer
By Maxwell Sherman and Adam Yaari
