We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
Background: Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed b...
Michael Richter, Thierry Lombardot, Ivaylo Kostadi...
The comprehensive annotation of non-coding RNAs in newly sequenced genomes is still a largely unsolved problem because many functional RNAs exhibit not only poorly conserved sequen...
Background: The Affymetrix™ technology is nowadays a well-established method for the analysis of gene expression profiles in cancer research studies. However, changes in gene ex...
Davide Rambaldi, Barbara Felice, Viviane Praz, Phi...
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...