Scott H. Kaufmann

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 1

Top Topics

Structural Learning

Directed Acyclic Graph

Bayesian Network Structure

Top Venues

Publications

Shrabanti Chowdhury, Ru Wang, Qing Yu, Catherine J. Huntoon, Larry M. Karnitz, Scott H. Kaufmann, Steven P. Gygi, Michael J. Birrer, Amanda G. Paulovich, Jie Peng, Pei Wang
DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer. BMC Bioinform. 23 (1) (2022)
Michael A. Khanin, Aleksey N. Lobanov, Scott H. Kaufmann
Apoptosis: an optimization approach. Comput. Biol. Medicine 34 (5) (2004)