Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Biological macromoleculesrepresent a valuable source of informationfor the identification and phylogenetic classification of microorganisms.Oneof the mostcommonlyused macromolecul...
Henning Hermjakob, Robert Giegerich, Walter Arnold
We present a new statistically optimal approach to estimate transcript levels and ratios from one or more gene array experiments. The Bayesian Estimation of Array Measurements (BE...
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinald...
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
Miguel L. Teodoro, George N. Phillips, Lydia E. Ka...