@conference{3c09606683eb4f2bb4cfa5ff93679117,
title = "Abstract 180: Identifying signatures of vulnerability through machine learning in an umbrella trial for glioblastoma",
author = "Lee, {Matthew Eric} and Nanyun Tang and Manmeet Ahluwalia and Ekokobe Fonkem and Karen Fink and Harshil Dhurv and Berens, {Michael E.} and Sen Peng",
note = "Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA Glioblastoma is characterized by intra- and inter-tumoral heterogeneity. An umbrella trial tests multiple investigational treatment arms depending on corresponding biomarker signatures. A contingency of an efficient umbrella trial is a suite of preferably orthogonal molecular biomarkers to classify patients into the likely-most-beneficial arm.; Bioinformatics and Systems Biology ; Conference date: 01-07-2021",
year = "2021",
month = jul,
day = "1",
doi = "10.1158/1538-7445.AM2021-180",
language = "American English",
}