Christopher W. Szeto,Stephen Charles Benz,Charles Joseph Vaske
申请号：
US15668616
公开号：
US20180039732A1
申请日:
2017.08.03
申请国别(地区):
US
年份:
2018
代理人:
摘要：
Contemplated systems and methods employ a priori known cell line genomics and drug response data to build a library of response predictors across multiple and distinct cell types and drugs. Statistical analysis of selected response predictors is then employed to identify a drug with a response predictor that has significant gain in prediction power relative to other drugs. Entity coefficients of the so identified response predictor are then applied to the output of a pathway model that was based on an actual patient's omic signature.
