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Machine-learning-based analysis of transcriptomics data for the identification of molecular signatures in cancer

2025-10-10

Abstract excerpt

Early detection and treatment of head and neck squamous cell carcinoma (HNSC) and oral squamous cell carcinoma (OSCC) could decrease the existing high mortality rates due to these cancers. The need for biomarker identification is crucial to detect HNSC and OSCC in their initial stages enabling prompt treatment. The present study establishes a machine learning-based framework employing a two-step feature selection...

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Literature Corpus work
152d5776-094c-5af5-9a55-55ca2ff5a3fb
DOI
10.1101/2025.10.09.25337647
Open publication

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Machine-learning-based analysis of transcriptomics data for the identification of molecular signatures in cancerDOI 10.1101/2025.10.09.25337647
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