Now showing items 1-3 of 3
Consecutive KEGG pathway models for the interpretation of high-throughput genomics data
German Conference on Bioinformatics
A common strategy to deal with the interpretation of gene lists is to look for overrepresentation of Gene Ontology (GO) terms or pathways. In related computational approaches the cell is formalized as genes that are grouped into functional categories. As output, a list of interesting biological processes is provided, ...
Revealing comprehensive genotype–phenotype associations through logic relationships
German conference on bioinformatics – GCB 2007
A novel approach which employs principles of higher order logic analyses was developed to systematically correlate phylogenetic data with phenotype profiles by identification of phenotype specific patterns of presence of multiple proteins. For example, for most genomes expressing trait A, the presence of protein C presumes ...
Exploiting scale-free information from expression data for cancer classification
German Conference on Bioinformatics 2005 (GCB 2005)
In most studies concerning expression data analyses information on the variability of gene intensity across samples is usually exploited. This information is sensitive to initial data processing which affects the final conclusions. However expression data contains scale free information which is directly comparable between ...