Article

Machine Learning Approaches for Identification of Potential Biomarkers from Cancer Omics Data

2023-10-28

Abstract excerpt

<title>Abstract</title> <p>Machine learning (ML) techniques have widely been used to analyze and interpret multi-omics data. It allows researchers to uncover complex relationships and patterns within molecular features. In the present comprehensive work, we performed text mining of biomedical literature data against selected ten cancer types (breast, colon, cervical, CNS, leukemia, lung, melanoma, ovarian, prosta...

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Literature Corpus work: e93c7f99-1db6-543a-9f81-64576cbff471
DOI: 10.21203/rs.3.rs-3480799/v1

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