Prediction of response to anti-cancer drugs becomes robust via network integration of molecular data
Abstract
Despite the widening range of high-throughput platforms and exponential growth of generated data volume, the validation of biomarkers discovered from large-scale data remains a challenging field. In order to tackle cancer heterogeneity and comply with the data dimensionality, a number of network and pathway approaches were invented but rarely systematically applied to this task. We propose a new method, called NEAmarker, for finding sensitive...
Paper Details
Title
Prediction of response to anti-cancer drugs becomes robust via network integration of molecular data
Published Date
Feb 20, 2019
Journal
Volume
9
Issue
1
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