Torgeir R. Hvidsten

发表

Classification of microarrays; synergistic effects between normalization, gene selection and machine learning

Patrik Rydén, Jenny Önskog, Eva Freyhult, 2011, BMC Bioinformatics.

Fold recognition using sequence fingerprints of protein local substructures

Jan Komorowski, Torgeir R. Hvidsten, Krzysztof Fidelis, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

Using local gene expression similarities to discover regulatory binding site modules

Bartek Wilczynski, Jerzy Tiuryn, Jan Komorowski, 2006, BMC Bioinformatics.

Towards Knowledge Discovery from cDNA Microarray Gene Expression Data

Jan Komorowski, Tor-Kristian Jenssen, Eivind Hovig, 2000, PKDD.

Computational Molecular Biology - an overview

Torgeir R. Hvidsten, 2001 .

Guidelines for RNA-Seq data analysis

Torgeir R. Hvidsten, Nicolas Delhomme, Nathaniel R. Street, 2014 .

Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts

Torgeir R. Hvidsten, Robin Andersson, Krzysztof Fidelis, 2009, Bioinform..

Predicting Gene Function from Gene Expressions and Ontologies

Jan Komorowski, Torgeir R. Hvidsten, Astrid Lægreid, 2000, Pacific Symposium on Biocomputing.

A rule-based framework for gene regulation pathways discovery

Jan Komorowski, Torgeir R. Hvidsten, Krzysztof Fidelis, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins

Jan Komorowski, Torgeir R. Hvidsten, Krzysztof Fidelis, 2004, Bioinform..

Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptors

Jan Komorowski, Torgeir R. Hvidsten, Mats G. Gustafsson, 2007, BMC Systems Biology.

A segmental maximum a posteriori approach to genome-wide copy number profiling

Jan Komorowski, Torgeir R. Hvidsten, Robin Andersson, 2008, Bioinform..

Bioinformatics strategies for cDNA-microarray data processing

Patrik Rydén, Eva Freyhult, Mattias Landfors, 2009 .

Gene expression trends and protein features effectively complement each other in gene function prediction

Gerrit T. S. Beemster, Martin Kuiper, Jan Komorowski, 2009, Bioinform..

Rough Sets in Bioinformatics

Jan Komorowski, Torgeir R. Hvidsten, J. Komorowski, 2007, Trans. Rough Sets.