Abstract
DNA methylation is an essential epigenetic modification for multiple biological processes. DNA methylation in mammals acts as an epigenetic mark of transcriptional repression. Aberrant levels of DNA methylation can be observed in various types of tumor cells. Thus, DNA methylation has attracted considerable attention among researchers to provide new and feasible tumor therapies. Conventional studies considered single-gene methylation or specific loci as biomarkers for tumorigenesis. However, genome-scale methylated modification has not been completely investigated. Thus, we proposed and compared two novel computational approaches based on multiple machine learning algorithms for the qualitative and quantitative analyses of methylation-associated genes and their dys-methylated patterns. This study contributes to the identification of novel effective genes and the establishment of optimal quantitative rules for aberrant methylation distinguishing tumor cells with different origin tissues.
Highlights
DNA methylation is an essential epigenetic modification for multiple biological processes (Gao et al, 2017)
These features are analyzed by minimum redundancy maximum relevance (mRMR) and Monte Carlo feature selection (MCFS) methods, respectively, producing two feature lists, which are available in Tables S1, S2, respectively
On the basis of each feature list, we use IFS combined with a particular classifier to determine the optimal feature set and related classification models or rules
Summary
DNA methylation is an essential epigenetic modification for multiple biological processes (Gao et al, 2017). It is characterized by the formation of 5-methylcytosine in the CpG site with the control of DNA methyltransferases (Moore et al, 2013). Recent studies have discovered that nonCpG methylation functions as an expression regulator in mammals (Guo et al, 2014; Zhang et al, 2017). Since DNA methylation was considered a regulator in gene expression in the 1970’s (Holliday and Pugh, 1975), numerous studies have investigated methylation-associated mechanisms, and functions. Current knowledge is that DNA methylation in mammals acts as an epigenetic mark of transcriptional repression
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
