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Disambiguation of "Hvidsten, Torgeir R."

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Learning Rule-based Models of Biological Process from Gene Expression Time Profiles Using Gene Ontology.

, , and . Bioinformatics, 19 (9): 1116-1123 (2003)

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R. Koerner

R. Watty

Dipl.-Ing. Marc Riedlinger

An adaptive self-managing platform for cabin management systems, , , and . CEAS Aeronautical Journal, 7 (3): 483--498 (2016)

Nils Rodrigues University of Stuttgart

A Visual Analytics Approach for Word Relevances in Multiple Texts, , , and . (2017)

Benedikt Remlein University of Stuttgart

Nonlinear phenomena in stochastic thermodynamics : from optimal protocols to criticality. Universität Stuttgart, Stuttgart, Dissertation, (2024)
 

Other publications of authors with the same name

Predicting Gene Function from Gene Expressions and Ontologies., , , and . Pacific Symposium on Biocomputing, page 299-310. (2001)A novel approach to fold recognition using sequence-derived properties from sets of structurally similar local fragments of proteins., , , and . ECCB, page 81-91. (2003)A Computer Scientist's Guide to the Regulatory Genome., and . Fundam. Inform., 103 (1-4): 323-332 (2010)Rough Sets in Bioinformatics., and . Trans. Rough Sets, (2007)Towards Knowledge Discovery from cDNA Microarray Gene Expression Data., , , , , , and . PKDD, volume 1910 of Lecture Notes in Computer Science, page 470-475. Springer, (2000)Using local gene expression similarities to discover regulatory binding site modules., , , , , and . BMC Bioinformatics, (2006)Learning Rule-based Models of Biological Process from Gene Expression Time Profiles Using Gene Ontology., , and . Bioinformatics, 19 (9): 1116-1123 (2003)Interaction Model Based on Local Protein Substructures Generalizes to the Entire Structural Enzyme-Ligand Space., , , , , , and . Journal of Chemical Information and Modeling, 48 (11): 2278-2288 (2008)Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts., , , , , and . Bioinformatics, 25 (10): 1264-1270 (2009)Classification of microarrays; synergistic effects between normalization, gene selection and machine learning., , , , and . BMC Bioinformatics, (2011)