Identification of significant genes in genomics using Bayesian variable selection methods.
Lin, Eugene, Huang, Lung-Cheng·Advances and applications in bioinformatics and chemistry : AABC·2008
Researchers developed a new mathematical method to find which genes are most important in ME/CFS by sorting through large amounts of genetic data. Instead of looking at every gene equally, this approach helps identify a smaller group of genes that appear to have the strongest connection to the disease. This method could help scientists focus their research on the most promising genetic leads.