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Immune related gene signature derived from integrate machine learning algorithm predicts outcomes of HNSC patients

2023-08-15

Abstract excerpt

<h4>Background: </h4> Due to the highly heterogeneous of tumor, head and neck squamous cancer (HNSC) patients are in variable immunotherapeutic response and have different clinical outcomes. We since develop the immune related gene signature (IRGS) using a machine learning based integrative procedure for distinguishing the immune microenvironment subtype of diverse HNSC patients and then help improve the outcomes...

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Literature Corpus work
4d17c424-17ec-5132-b966-310a59174e8b
DOI
10.21203/rs.3.rs-3240776/v1
Open publication

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Immune related gene signature derived from integrate machine learning algorithm predicts outcomes of HNSC patientsDOI 10.21203/rs.3.rs-3240776/v1
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