A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data

A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data

DNA methylation change has been useful for cancer biomarker discovery, classification, and potential treatment development. So far, existing methods use either differentially methylated CpG sites or combined CpG sites, namely differentially methylated regions, that can be mapped to genes. However, s...

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Bibliographic Details
Main Authors: Saurav Mallik, Soumita Seth, Tapas Bhadra, Zhongming Zhao
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Genes
Subjects:
uterine cervical cancer
DNA methylation
Liner regression
deep learning
differentially expressed genes
Online Access:https://www.mdpi.com/2073-4425/11/8/931

Internet

https://www.mdpi.com/2073-4425/11/8/931

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