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Strategies for Improving the Performance of Prediction Models for Response to Immune Checkpoint Blockade Therapy in Cancer

2023-07-12

Abstract excerpt

Immune checkpoint blockade (ICB) therapy holds promise for bringing long-lasting clinical gains for the treatment of cancer. However, studies show that only a fraction of patients respond to the treatment. In this regard, it is valuable to develop gene expression signatures based on RNA sequencing (RNAseq) data and machine learning methods to predict patients’ response to the ICB therapy, which contributes to more...

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Literature Corpus work
334b26e9-9a05-5aec-9c48-3b155c95ce55
DOI
10.1101/2023.07.07.23292316
Open publication

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Strategies for Improving the Performance of Prediction Models for Response to Immune Checkpoint Blockade Therapy in CancerDOI 10.1101/2023.07.07.23292316
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