Integration of Gene Expression Data and Methylation Reveals Genetic Networks for Glioblastoma

Motivation: The consistent amount of different types of omics data requires novel methods of analysis and data integration. In this work we describe Regression2Net, a computational approach to analyse gene expression and methylation profiles via regression analysis and network-based techniques. … Continue reading

Are we far from correctly inferring gene interaction networks with LASSO?

Detecting the interactions of genetic compounds like genes, SNPs, proteins, metabolites, etc. can potentially unravel the mechanisms behind complex traits and common genetic disorders. Several methods have been taken into consideration for the analysis of different types of genetic data, … Continue reading