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Uncovering Predictive Gene and Cellular Signatures for Checkpoint Immunotherapy Response through Machine Learning Analysis of Immune Single-Cell RNA-seq Data

2024-11-18

Abstract excerpt

<h4>Background</h4> Immune checkpoint inhibitors have revolutionized cancer therapy by harnessing the body’s immune system to eliminate tumor cells. However, only a subset of patients responds to treatment. Understanding why only some patients respond remains a critical challenge in cancer research due to the complexity and variability of cellular composition within the tumor microenvironment. Our study presents...

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Literature Corpus work
de880c78-41e4-518c-9ff8-3273efe5cc90
DOI
10.1101/2024.11.16.623986
Open publication

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Uncovering Predictive Gene and Cellular Signatures for Checkpoint Immunotherapy Response through Machine Learning Analysis of Immune Single-Cell RNA-seq DataDOI 10.1101/2024.11.16.623986
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