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Peer-reviewed research articles |
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| 1. |
J. Önskog, E. Freyhult, M. Landfors, P. Rydén and T. R. Hvidsten. Classification of microarrays; synergistic effects between normalization, gene selection and machine learning. BMC Bioinformatics 12: 390, 2011. |
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[Impact factor: 3.028]
[Citations: 0]** |


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| 2. |
K. Baba*, A. Karlberg*, J. Schmidt, J. Schrader, T. R. Hvidsten, L. Bako and R. P. Bhalerao. Activity-dormancy transition in the cambial meristem involves stage specific modulation of auxin response in Hybrid Aspen. Proceedings of the National Academy of Sciences 108 (8): 3418-3423, 2011. |
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[Impact factor: 9.771]
[Citations: 3] |
| 3. |
N. Street, S. Jansson and T. R. Hvidsten. A systems biology model of the regulatory network in Populus leaves reveals interacting regulators and conserved regulation. BMC Plant Biology 11: 13, 2011. |
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[Impact factor: 4.085]
[Citations: 0] |
| 4. |
E. Freyhult, M. Landfors, J. Önskog, T. R. Hvidsten and P. Rydén. Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering. BMC Bioinformatics 11: 503, 2010. |
[pdf] [html] [Impact factor: 3.028]
[Citations: 6] |
| 5. |
T. R. Hvidsten, A. Lægreid, A. Kryshtafovych, G. Andersson, K. Fidelis and J. Komorowski. A comprehensive analysis of the structure-function relationship in proteins based on local structure similarity. PLoS ONE 4(7): e6266, 2009. |
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[Impact factor: 4.351]
[Citations: 6] |
| 6. |
P. Björkholm, P. Daniluk, A. Kryshtafovych, K. Fidelis, R. Andersson and T. R. Hvidsten. Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts. Bioinformatics 25: 1264-1270, 2009. |
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[Impact factor: 4.926]
[Citations: 10] |
| 7. |
T. R. Hvidsten*, A. Kryshtafovych* and K. Fidelis. Local descriptors of protein structure: A systematic analysis of the sequence-structure relationship in proteins using short- and long-range interactions, Proteins: Structure, Function, and Bioinformatics 75 (4): 870-884, 2009. |
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[Impact factor: 3.085]
[Citations: 11] |
| 8. |
K. Wabnik, T. R. Hvidsten, A. Kedzierska, J. Van Leene, G. De Jaeger, G. T. S. Beemster, J. Komorowski and M. T. R. Kuiper. Gene expression trends and protein features effectively complement each other in gene function prediction, Bioinformatics 25 (3):322-330, 2009. |
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[Impact factor: 4.926]
[Citations: 3] |
| 9. |
H. Strömbergsson, P. Daniluk, A. Kryshtafovych, K. Fidelis, J. E. S. Wikberg, G. J. Kleywegt and T. R. Hvidsten. Interaction Model Based on Local Protein Substructures Generalizes to the Entire Structural Enzyme-Ligand Space, Journal of Chemical Information and Modeling 48 (11): 2278–2288, 2008. |
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[Impact factor: 3.643]
[Citations: 18] |
| 10. |
R. Andersson, C. Bruder, A. Piotrowski, U. Menzel, T. D. de Ståhl, T. R. Hvidsten, J. Dumanski, J.
Komorowski. A Segmental Maximum A Posteriori Approach to Genome-wide Copy Number Profiling, Bioinformatics 24 (6): 751-758, 2008. |
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[Impact factor: 4.328]
[Citations: 24] |
| 11. |
C. R. Andersson*, T. R. Hvidsten*, A. Isaksson, M. G. Gustafsson,
J. Komorowski. Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptors, BMC Systems Biology 1: 45, 2007. |
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[Impact factor: 3.710]
[Citations: 6] |
| 12. |
U. Bergström, J. A. Olsson, T. R. Hvidsten, J. Komorowski, I.
Brandt. Differential gene expression in the olfactory bulb following exposure
to the olfactory toxicant 2,6-dichlorophenyl methylsulphone and its
2,5-dichlorinated isomer in mice, NeuroToxicology 28 (6): 1120-1128, 2007. |
[pdf] [html]
[Impact factor: 3.009]
[Citations: 0] |
| 13. |
B. Wilczynski, T. R. Hvidsten, A. Kryshtafovych, J. Tiuryn, J. Komorowski,
K. Fidelis. Using
Local Gene Expression Similarities to Discover Regulatory Binding Site
Modules, BMC Bioinformatics 7: 505, 2006. |
[pdf] [html]
[Impact factor: 3.617]
[Citations: 12] |
| 14. |
H. Strömbergsson, A. Kryshtafovych, P. Prusis, K. Fidelis, J.
E. S. Wikberg, J. Komorowski and T. R. Hvidsten. Generalized
modeling of enzyme-ligand interactions using proteochemometrics and
local protein substructures, Proteins: Structure, Function and
Bioinformatics 65: 568-579, 2006. |
[pdf] [html]
[Impact factor: 3.730]
[Citations: 19] |
| 15. |
T. R. Hvidsten, B. Wilczynski, A. Kryshtafovych, J. Tiuryn, J. Komorowski
and K. Fidelis. Discovering
regulatory binding site modules using rule-based learning, Genome
Research 15: 856-66, 2005. |
[pdf] [html]
[Impact factor: 10.139]
[Citations: 36] |
| 16. |
J. L. Dennis, T. R. Hvidsten, J. Komorowski, E. C. Wit, A. Bell, I.
Downie, J. Mooney, C. Verbeke, C. Bellamy, W.N. Keith and K. A. Oien. Markers
of Adenocarcinoma Characteristic of the Site of Origin - Development
of a Diagnostic Algorithm, Clinical Cancer Research 11 (10):
3766-72, 2005. |
[pdf] [html]
[Impact factor: 5.715]
[Citations: 131] |
| 17. |
T. R. Hvidsten, A. Lægreid and J. Komorowski. Learning
rule-based models of biological process from gene expression time profiles
using gene ontology, Bioinformatics 19: 1116-23, 2003. |
[pdf] [html]
[Impact factor: 6.701]
[Citations: 97] |
| 18. |
A. Lægreid, T. R. Hvidsten, H. Midelfart, J. Komorowski, and A.K.
Sandvik. Predicting
Gene Ontology Biological Process From Temporal Gene Expression Patterns, Genome Research 13 (5): 965-979, 2003. |
[pdf] [html]
[Impact factor: 9.635]
[Citations: 92] |
| 19. |
T. R. Hvidsten, A. Kryshtafovych, J. Komorowski and K. Fidelis. A
novel approach to fold recognition using sequence-derived properties
from sets of structurally similar local fragments of proteins, ECCB2003, Bioinformatics 19 Suppl 2: II81-II91, 2003. |
[pdf] [html]
[Impact factor: 6.701]
[Citations: 28] |
| 20. |
T. R. Hvidsten, J. Komorowski, A. K. Sandvik and A. Lægreid. Predicting
Gene Function from Gene Expressions and Ontologies, in Pacific
Symposium on Biocomputing 6: 299-310, 2001. |
[pdf] [html]
[Citations: 82] |
| 21. |
J. Komorowski, T. R. Hvidsten, T.-K. Jenssen, D. Tjeldvoll, E. Hovig,
A. K. Sandvik and A. Lægreid. Towards
Knowledge Discovery from cDNA Microarray Gene Expression Data, in Principles of Data Mining and Knowledge Discovery (PKDD'2000) edited by Djamel A. Zighed, Jan Komorowski and Jan Zytkow, Lecture notes in computer science, 4: 470-475,
2000. |
[pdf] [html]
[Citations: 7] |
| 22. |
T. R. Hvidsten, M. S. Bjanger, J. Komorowski, M. F. White and B. Guanglai. Fault Diagnosis
in Rotating Machinery using Rough Sets and Rosetta in European
Congress on Intelligent Techniques & Soft Computing (EUFIT'99),
Aachen, September 1999. |
[pdf] [pdf full report]
[Citations: 5] |
* ** |
Contributed equally.
Citation statistics from Google Scholar (Updated May 26th, 2011) |
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Reviews, book chapters and theses |
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| 23. |
B. Wilczynski and T. R. Hvidsten. A computer scientist’s guide to the regulatory genome. Fundamenta Informaticae 103: 323-332, 2010. |
[pdf] [html] [Citations: 0] |
| 24. |
J. Fahlén, M. Landfors, E. Freyhult, J. Trygg, T. R. Hvidsten and P. Rydén. Bioinformatic strategies for cDNA-microarray data processing. Chapter 6 in Batch Effects and Noise in Microarray Experiments: Sources and Solutions edited by A. Scherer, John Wiley & Sons, 2009. |
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[Citations: 2] |
| 25. |
T. R. Hvidsten and J. Komorowski. Rough
sets in bioinformatics, Transactions
on Rough Sets VII edited by E. Orlowska, J. F. Peters and A.
Skowron, Lecture notes in computer science 4400, pp. 225-243, Springer-Verlag Berlin Heidelberg New
York, 2007. |
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[Citations: 2] |
| 26. |
T. R. Hvidsten. A tutorial-based guide to the ROSETTA system: A Rough Set Toolkit for Analysis of Data, 2006. |
[pdf] [data] |
| 27. |
T. R. Hvidsten. Predicting
function of genes and proteins from sequence, structure and expression
data, PhD thesis, Department of Information Technology and
Linnaeus Centre for Bioinformatics, Uppsala University, 2004. [comments
by reviewer Prof. Anna Tramontano] |
[pdf] [html]
[Citations: 3] |
| 28. |
T. R. Hvidsten. Computational gene expression analysis; correlating data and knowledge, EMBnet.news,
9(1): 10-12, 2003. |
[pdf] |
| 29. |
T. R. Hvidsten, Computational
Molecular Biology - an overview, NTNU Computer Science Graduate
Student Conference, 2001. |
[pdf] [pdf] |
| 30. |
J. Komorowski, T. R. Hvidsten, T.-K. Jenssen, D. Tjeldvoll, E. Hovig,
A. Lægreid and A. K. Sandvik. New
knowledge derived from measurement of gene expression with the DNA microarray
method, Tidsskr Nor Lægeforen 121 (10): 1229-1232, 2001. |
[pubmed]
[pdf Norwegian]
[html Norwegian]
[Citations: 2] |
| 31. |
T. R. Hvidsten. Knowledge
Discovery in Gene Expression Databases, Master Thesis, Department
of Computer and Information science, Norwegian University of Science
and Technology, 2000. |
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Abstracts and posters |
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- N. Street, T. R. Hvidsten, B. Sundberg, Y-C. Lin, S. Netotea and Stefan Jansson. Large-‐scale RNA-‐Seq transcriptomics studies exploring wood development and natural variation in aspen (P. tremula): projects and resource development. Plant and Animal Genome XX Conference. January 14-18, 2012, San Diego, USA.
- V. Srivastava, O. Obudulu, J. Bygdell, P. Ryden, R. Nilsson, P. Jonsson, E. Freyhult, J. Quarnström, J. Karlsson, T. Moritz, T. R. Hvidsten, J. Trygg and G. Wingsle. A systems biology approach to studying global response to oxidative stress in Populus. Metabomeeting 2011, September 25-28, Helsinki, Finland.
- S. Netotea, F. Richard and T. R. Hvidsten. Modeling adaptive changes in Populus metabolic and transcriptional networks. 1st Conference on Constraint-based Reconstruction and Analysis (COBRA), June 24-26, 2011, Reykjavik, Iceland.
- F. Lysholm, P. Björkholm, T. R. Hvidsten, B. Persson. Residue-residue contact prediction through matching of known motifs. Critical Assessment of Techniques for Protein Structure Prediction (CASP9), December 5-9, 2010, Asilomar Conference Center, Pacific Grove, CA, USA.
- P. Björkholm, F. Lysholm, A. Kryshtafovych, K. Fidelis, and T. R. Hvidsten. FragHMMent – Contact prediction using hidden Markov models trained on alignments of local descriptors of protein structure. Critical Assessment of Techniques for Protein Structure Prediction (CASP9), December 5-9, 2010, Asilomar Conference Center, Pacific Grove, CA, USA.
- S. Netotea and T. R. Hvidsten. Inferring gene regulatory networks to identify conserved regulation between Arabidopsis and Populus. ECCB, Sep 26 - Sep 29, 2010, Ghent, Belgium.
- P. Björkholm, P. Daniluk, A. Kryshtafovych, K. Fidelis, R. Andersson and T. R. Hvidsten. FragHMMent: Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts. ISMB and ECCB, June 27-July 2, 2009, Stockholm, Sweden.
- B. Dedicova, T. R. Hvidsten, O. Nilsson, U. Egertsdotter. Cryopreservation and survival ability of different Elite embryogenic lines of Norway spruce. 1st International Symposium on Cryopreservation in Horticultural Species, April 5-8, 2009, Leuven, Belgium.
- N. Street, S. Jansson and T. R. Hvidsten. A systems biology approach to model the transcriptional network in trees. UPSC meeting: Future directions in plant research, March 16-18, 2009, Gålsjö bruk, Sweden.
- P. Björkholm, P. Daniluk, A. Kryshtafovych, K. Fidelis, R. Andersson and T. R. Hvidsten. Predicting residue-residue contacts using hidden Markov models trained on local neighborhoods of protein structure. Critical Assessment of Techniques for Protein Structure Prediction (CASP8), December 3-7, 2008, Cagliari, Sardinia, Italy.
- J. E. S. Wikberg, M. Eklund, O. Spjuth, H. Strömbergsson, T. R. Hvidsten and M. Lapins. Proteochemometrics. 17th European Symposium on QSAR in ”omics” and Systems biology, September 21-26, 2008, Uppsala, Sweden.
- P. Björkholm og T. R. Hvidsten. Method for recognizing local descriptors of protein structure using Hidden Markov Models. 8th Swedish Bioinformatics Workshop for Ph.D. Students and Postdocs, February 28-29th, 2008, Uppsala, Sweden.
- H. Strömbergsson, T. R. Hvidsten, J. E. S. Wikberg, A. Kryshtafovych,
P. Daniluk, K. Fidelis and G. J. Kelywegt. Enzyme Wide Modeling of Protein-Ligand
Interactions. ISMB/ECCB: 3DSIG: The 3rd Structural Bioinformatics and
Computational Biophysics Satellite Meeting, pp. 62, 19-20 July, 2007,
Vienna, Austria.
- T. R. Hvidsten, A. Kryshtafovych, P. Daniluk, K. Fidelis and J. Komorowski.
Prediction of protein function using local descriptors of protein structure.
Critical Assessment of Techniques for Protein Structure Prediction (CASP7),
November 26-30, 2006, Asilomar Conference Center, Pacific Grove, CA,
USA.
- H. Strömbergsson and T. R. Hvidsten. Generalized modeling of
enzyme-ligand interactions using proteochemometrics and local protein
substructures. Tenth Annual Conference of the Swedish Structural Biology
Network, 16-19 June, 2006, Tällberg, Sweden.
- T. R. Hvidsten, B. Wilczynski, A. Kryshtafovych, J. Tiuryn, J. Komorowski
and K. Fidelis. Learning regulatory binding site modules from sequence
and expression data. Tenth Annual International Conference on Research
in Computational Molecular Biology (RECOMB), April 2-5, 2006, Venice,
Italy.
- U. Bergström, J. A. Olsson, T. R. Hvidsten, J. Komorowski, J.
Brandt. Altered Gene Expression in the Olfactory Bulb Following Exposure
to 2,6-Dichlorophenyl Methylsulfone. Eurotox: The 42nd Congress of the
European Societies of Toxicology, September 11-14, 2005, Cracow, Poland.
- J. L. Dennis, T. R. Hvidsten, E. C. Wit, J. Komorowski, A. K. Bell, I. Downie, J. Mooney, C. Verbeke, C. Bellamy, W. N. Keith, K. A. Oien. Markers of adenocarcinoma characteristic of the site of origin - Development of a diagnostic algorithm. 187th Meeting of the Pathological-Society-of-Great-Britain-and-Ireland, January 6-7, 2005, London, England.
- T. R. Hvidsten, A. Kryshtafovych, P. Daniluk, K. Fidelis, J. Komorowski.
Predicting function from local substructures of proteins. 5th Swedish
Bioinformatics Workshop for Ph.D. Students and Postdocs, November 26-27th,
2004, Lund, Sweden.
- R. Andersson, J. Vesterlund, T. R. Hvidsten and J. Komorowski. Genomic
Rosetta: a toolkit for functional genomics. 5th Swedish Bioinformatics
Workshop for Ph.D. Students and Postdocs, November 26-27th, 2004, Lund,
Sweden.
- A. Johansson, H. Midelfart, T. R. Hvidsten and J. Komorowski. A Rough
Set approach to functional classification of genes using a combination
of heterogeneous data sources, Bioinformatics 2004, June 3-6, Linköping,
Sweden.
- P. Daniluk, A. Kryshtafovych, T. R. Hvidsten, J. Komorowski and K.
Fidelis. Identifying structural similarity of proteins using local descriptors
of protein structure, Pacific Symposium on Biocomputing 2004, Hawaii,
USA.
- B. Wilczynski, T. R. Hvidsten, A. Kryshtafovych, J. Komorowski and
K. Fidelis. An iterative approach to gene regulation pathways discovery,
Pacific Symposium on Biocomputing 2004, Hawaii, USA.
- A. Kryshtafovych, T.R. Hvidsten, J. Komorowski, K. Fidelis. Fold
Recognition Using Sequence Fingerprints of Protein Local Substructures.
CSB 2003, 517-518, Stanford, 11-14. August, 2003.
- B. Wilczynski, T.R. Hvidsten, A. Kryshtafovych, L. Stubbs, J. Komorowski,
K. Fidelis. A
rule-based framework for gene regulation pathways discovery. CSB
2003, 517-518, Stanford, 11-14. August, 2003.
- T. R. Hvidsten, A. Kryshtafovych, K. Fidelis and J. Komorowski. A
novel approach to fold recognition using sequence-derived properties
from sets of structurally similar local fragments of proteins, Bioinformatics
2003, May 22-24, Helsinki, Finland.
- B. Wilczynski, T.R. Hvidsten, A. Kryshtafovych, L. Stubbs, J. Komorowski
and K. Fidelis. Identifying Gene Regulation Mechanisms based on Local
Gene Expression Similarities using Rule Based Classifiers, in Currents
in Computational Molecular Biology - RECOMB 2003, edited by R. Spang,
P. Beziat and M. Vingron, pp. 293, April 10-13, 2003, Berlin, Germany.
- T. R. Hvidsten, A. Kryshtafovych, J. Komorowski and K. Fidelis. Applying
sequence-derived features from similar 3-D local structures to protein
fold recognition, in Currents in Computational Molecular Biology - RECOMB
2003, edited by R. Spang, P. Beziat and M. Vingron, pp. 191-192, April
10-13, 2003, Berlin, Germany.
- A. Kryshtafovych, T. R. Hvidsten, J. Komorowski, P. Daniluk, M. Wilczynska
and K. Fidelis. Automated local structure based classification of protein
folds, Pacific Symposium on Biocomputing 2003, Hawaii, USA.
- T. R. Hvidsten, A. Kryshtafovych, J. Komorowski and K. Fidelis. Identifying
gene regulation mechanisms using rule based classifiers, Pacific Symposium
on Biocomputing 2003, Hawaii, USA.
- T. R. Hvidsten. Protein fold prediction using sequence based features
from local structures, 3rd Annual Workshop in Bioinformatics for PhD
Students and PostDocs, November 22-23, 2002, Stockholm, Sweden.
- T. R. Hvidsten, A. Kryshtafovych, A. Zemla, R. Vemuri, J. Komorowski
and K. Fidelis. Applying sequence derived feature templates based on
3-D local structures to protein fold recognition, Bioinformatics 2002,
April 4-7, Bergen, Norway.
- H. Midelfart, W. Kusnierczyk, T. R. Hvidsten, A. Lægreid and
J. Komorowski. Learning Yeast Gene Function from Expression Programs
and Gene Ontology, in Conference Proceedings of the Norwegian Biochemical
Society’s Wintermeeting, pp. 63, January 17-20, 2002, Røros,
Norway.
- T. R. Hvidsten, A. K. Sandvik, H. Midelfart, A. Lægreid and
J. Komorowski. A method based on rough set supervised learning used
to predict the biological function of unknown genes from DNA microarray
gene expression data, in Conference Proceedings of the Third International
Meeting on Microarray Data Standards, Annotations, Ontologies and Databases,
pp. 167, Mars 28-30, 2001, Stanford University, Palo Alto, USA.
- J. Komorowski, A. Lægreid, T. R. Hvidsten, T.-K. Jenssen, A.
K. Sandvik and D. Tjeldvoll. A methodology and tools for knowledge discovery
from gene expressions, Bioinformatics 2000, Denmark.
- D. Tjeldvoll, A. Lægreid, T. R. Hvidsten, T.-K. Jenssen, A.
K. Sandvik and J. Komorowski. Semi-automatic annotation of genes, Bioinformatics
2000, Denmark.
- T. R. Hvidsten, T.-K. Jenssen, J. Komorowski, A. Lægreid, A.
K. Sandvik and D. Tjeldvoll. Template-based gene expression analysis,
in Currents in Computational Molecular Biology - RECOMB 2000, edited
by S. Miyano, R. Shamir and T. Takagi, pp. 10-11, ISBN 4-946443-61-4,
Universal Academy Press, Inc, April 8-11, 2000, Tokyo, Japan.
- T. R. Hvidsten, J. Komorowski, A. K. Sandvik and A. Lægreid.
A framework for learning gene functions from microarray data, NBS Vintermøte
2001 - 37. Norwegian Biochemical Society’s Wintermeeting, Beitostølen.
- T. R. Hvidsten, T.-K. Jenssen, A. Lægreid, A. Øhrn and
J. Komorowski. Boolean reasoning in the clustering of gene expression
data, Data Mining for Bioinformatics – Towards In Silico Biology,
November 10-12 1999, Hinxton – Cambridge, UK.
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