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Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in glioma

2023-12-12

Abstract excerpt

<h4>Background: </h4> The growth of glioma is frequently accompanied by a hypoxic microenvironment, which contributes to its progression and unfavorable prognosis. Nevertheless, the clinical implications of hypoxia have not been extensively investigated. <h4>Methods: </h4>: A comprehensive collection of over 3000 glioma samples was acquired from publicly available databases. The identification of a hypoxia-cluste...

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Literature Corpus work
767e5192-a09a-51a3-b46a-24a12ed8f9a7
DOI
10.21203/rs.3.rs-3730272/v1
Open publication

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Machine learning-based integration develops a hypoxia-derived signature for improving outcomes in gliomaDOI 10.21203/rs.3.rs-3730272/v1
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