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A Framework to Predict the Applicability of Gene Signatures for Improving Prognostic Prediction

2021-06-02

Abstract excerpt

To improve cancer precision medicine, prognostic and predictive biomarkers are critically needed to aid physicians in deciding treatment strategies in a personalized fashion. Due to the heterogeneous nature of cancer, most biomarkers are expected to be valid only in a subset of patients. Furthermore, there is no current approach to determine the applicability of biomarkers. In this study, we propose a framework to...

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Literature Corpus work
f2dcb5e6-d47f-5504-a857-59285e58c145
DOI
10.21203/rs.3.rs-571421/v1
Open publication

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A Framework to Predict the Applicability of Gene Signatures for Improving Prognostic PredictionDOI 10.21203/rs.3.rs-571421/v1
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