Towards Knowledge Discovery from cDNA Microarray Gene Expression Data. - Henryk Jan Komorowski; Torgeir R. Hvidsten; Tor-Kristian Jenssen; Dyre Tjeldvoll; Eivind Hovig; Arne K. Sandvik; Astrid Lægreid (PKDD, 2000)

Predicting Gene Function from Gene Expressions and Ontologies. - Torgeir R. Hvidsten; Henryk Jan Komorowski; Arne K. Sandvik; Astrid Lægreid (Pacific Symposium on Biocomputing, 2001)

Fold Recognition Using Sequence Fingerprints of Protein Local Substructures. - Andriy Kryshtafovych; Torgeir R. Hvidsten; Henryk Jan Komorowski; Krzysztof Fidelis (CSB, 2003)

A rule-based framework for gene regulation pathways discovery. - Bartosz Wilczynski; Torgeir R. Hvidsten; Andriy Kryshtafovych; Lisa Stubbs; Henryk Jan Komorowski; Krzysztof Fidelis (CSB, 2003)

Learning Rule-based Models of Biological Process from Gene Expression Time Profiles Using Gene Ontology. - Torgeir R. Hvidsten; Astrid Lægreid; Henryk Jan Komorowski (Bioinform., 2003)

A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins. - Torgeir R. Hvidsten; Andriy Kryshtafovych; Henryk Jan Komorowski; Krzysztof Fidelis (Bioinform., 2004)

Using local gene expression similarities to discover regulatory binding site modules. - Bartek Wilczynski; Torgeir R. Hvidsten; Andriy Kryshtafovych; Jerzy Tiuryn; Henryk Jan Komorowski; Krzysztof Fidelis (BMC Bioinform., 2006)

Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptors. - Claes R. Andersson; Torgeir R. Hvidsten; Anders Isaksson; Mats G. Gustafsson; Jan Komorowski (BMC Syst. Biol., 2007)

Rough Sets in Bioinformatics. - Torgeir R. Hvidsten; Henryk Jan Komorowski (Trans. Rough Sets, 2007)

A segmental maximum a posteriori approach to genome-wide copy number profiling. - Robin Andersson; Carl E. G. Bruder; Arkadiusz Piotrowski; Uwe Menzel; Helena Nord; Johanna Sandgren; Torgeir R. Hvidsten; Teresita Diaz de Ståhl; Jan P. Dumanski; Henryk Jan Komorowski (Bioinform., 2008)

Interaction Model Based on Local Protein Substructures Generalizes to the Entire Structural Enzyme-Ligand Space. - Helena Strömbergsson; Pawel Daniluk; Andriy Kryshtafovych; Krzysztof Fidelis; Jarl E. S. Wikberg; Gerard J. Kleywegt; Torgeir R. Hvidsten (J. Chem. Inf. Model., 2008)

Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts. - Patrik Björkholm; Pawel Daniluk; Andriy Kryshtafovych; Krzysztof Fidelis; Robin Andersson; Torgeir R. Hvidsten (Bioinform., 2009)

Gene expression trends and protein features effectively complement each other in gene function prediction. - Krzysztof Wabnik; Torgeir R. Hvidsten; Anna M. Kedzierska; Jelle Van Leene; Geert De Jaeger; Gerrit T. S. Beemster; Henryk Jan Komorowski; Martin T. R. Kuiper (Bioinform., 2009)

Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering. - Eva Freyhult; Mattias Landfors; Jenny Önskog; Torgeir R. Hvidsten; Patrik Rydén (BMC Bioinform., 2010)

A Computer Scientist's Guide to the Regulatory Genome. - Bartek Wilczynski; Torgeir R. Hvidsten (Fundam. Informaticae, 2010)

Classification of microarrays; synergistic effects between normalization, gene selection and machine learning. - Jenny Önskog; Eva Freyhult; Mattias Landfors; Patrik Rydén; Torgeir R. Hvidsten (BMC Bioinform., 2011)