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
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
Genome-wide association studies can potentially unravel the mechanisms behind complex traits and common genetic diseases. Despite the valuable results produced thus far, many questions remain unanswered. … Continue reading
When it comes to function minimisation, it’s time to open a book of optimisation and linear algebra. I am currently working on variable selection and lasso-based solutions in genetics. What lasso does is basically minimising the loss function and an … Continue reading
If, as they say, math is everywhere, it must also be in our DNA. I don’t know if Nature or God attended any course of math at the time things were being created. But extracting information from natural phenomena using … Continue reading
