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A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics

2023-08-27

Abstract excerpt

Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most highly prevalent cancer type worldwide. Early detection of HNSCC is one of the important challenges in managing the treatment of the cancer patients. Existing techniques for detecting HNSCC are costly, expensive, and invasive in nature. In this study, we aimed to address this issue by developing classification models using machine learning and deep...

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Literature Corpus work
95ace1be-6e52-5de6-a049-f253387fd71d
DOI
10.1101/2023.08.24.554735
Open publication

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A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomicsDOI 10.1101/2023.08.24.554735
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