Anthony Gitter

Investigator

Area:

Phone:

(608) 316-4442

Email:

[javascript protected email address]

Lab website >

My group develops computational approaches to reconstruct signaling pathways and transcriptional regulatory networks from multiple types of high-throughput data using techniques from machine learning and graph theory. We emphasize dynamic networks and disease applications in virology and oncology.

Education

Ph.D., 2012, Carnegie Mellon University

Selected Publications

  • Network inference with Granger causality ensembles on single-cell transcriptomic data. Atul Deshpande, Li-Fang Chu, Ron Stewart, Anthony Gitter. bioRxiv, 2019. doi:10.1101/534834
  • Practical model selection for prospective virtual screening. Shengchao Liu*, Moayad Alnammi*, Spencer S Ericksen, Andrew F Voter, Gene E Ananiev, James L Keck, F Michael Hoffmann, Scott A Wildman, Anthony Gitter. Journal of Chemical Information and Modeling. 59:1, 2019.
  • Synthesizing signaling pathways from temporal phosphoproteomic data. Ali S Köksal, Kirsten Beck, Dylan R Cronin, Aaron McKenna, Nathan D Camp, Saurabh Srivastava, Matthew E MacGilvray, Rastislav Bodík, Alejandro Wolf-Yadlin, Ernest Fraenkel, Jasmin Fisher, Anthony Gitter. Cell Reports. 24:13, 2018.