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Bridging the Gap in Immunotherapy Prediction: The AGAE Score as a Pan-Cancer Biomarker for Immune Checkpoint Inhibitor Response

2024-10-16

Abstract excerpt

<h4>Background</h4> Immune checkpoint inhibitor (ICI) therapy efficacy varies among cancer patients, necessitating precise predictive biomarkers for optimized treatment strategies. <h4>Methods</h4> We developed the Adaptive best subset selection algorithm and Genetic algorithm Aided Ensemble learning (AGAE) score through multi-cohort transcriptomic analysis of ICI-treated patients. The AGAE score incorporated ge...

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Literature Corpus work
d2a66789-d84c-5fa1-be63-1a60c856ee0e
DOI
10.1101/2024.10.15.618438
Open publication

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Bridging the Gap in Immunotherapy Prediction: The AGAE Score as a Pan-Cancer Biomarker for Immune Checkpoint Inhibitor ResponseDOI 10.1101/2024.10.15.618438
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