Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

Although most of the cervical cancer cases are reported to be closely related to the Human Papillomavirus (HPV) infection, there is a need to study genes that stand up differentially in the final actualization of cervical cancers following HPV infection. In this study, we proposed an integrative mac...

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Bibliographic Details
Main Authors: Mei Sze Tan, Siow-Wee Chang, Phaik Leng Cheah, Hwa Jen Yap
Format: Article
Language:English
Published: PeerJ Inc. 2018-07-01
Series:PeerJ
Subjects:
Gene expression profiling
Meta-analysis
Machine learning
Feature selection
Cervical cancer prognosis
Potential gene signature
Online Access:https://peerj.com/articles/5285.pdf

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