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Machine learning-based models for genomic predicting neoadjuvant chemotherapeutic sensitivity in cervical cancer

16 Jan 2023

Abstract excerpt

BACKGROUND: The PI3K/Akt pathway involves in regulating resistance to platinum-based neoadjuvant chemotherapy (NACT) in locally advanced cervical cancer (LACC) patients. Single nucleotide polymorphisms (SNPs) reflect the basic genetic variation between individuals. Random forest (RF) is one of the machine-learning models that can predict drug sensitivity with high accuracy. We applied the RF model for genomic...

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PMID: 36652730
DOI: 10.1016/j.biopha.2023.114256

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