We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
We have developed a mathematical framework for representing and testing hypotheses about gene, protein, and signaling molecule interactions. It takes a hierarchical, contradiction...
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...