Integrative Network Analysis of Differentially Methylated and Expressed Genes for Biomarker Identification in Leukemia.

ABSTRACT: Genome-wide DNA methylation and gene expression are commonly altered in pediatric acute lymphoblastic leukemia (PALL). Integrated network analysis of cytosine methylation and expression datasets has the potential to provide deeper insights into the complex disease states and their causes than individual disconnected analyses. With the purpose of identifying reliable cancer-associated methylation signal in gene regions from leukemia patients, we present an integrative network analysis of differentially methylated (DMGs) and differentially expressed genes (DEGs). The application of a novel signal detection-machine learning approach to methylation analysis of whole genome bisulfite sequencing (WGBS) data permitted a high level of methylation signal resolution in cancer-associated genes and pa

SUBMITTER: Sanchez R 

PROVIDER: S-EPMC7005804 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature