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2020 – today
- 2024
[j18]Markus Haug
, Marek Oja, Maarja Pajusalu, Kerli Mooses, Sulev Reisberg, Jaak Vilo, Antonio Fernández Giménez, Thomas Falconer, Ana Danilovic, Filip Maljkovic, Dalia Dawoud, Raivo Kolde:
Markov modeling for cost-effectiveness using federated health data network. J. Am. Medical Informatics Assoc. 31(5): 1093-1101 (2024)- 2023
- [j17]Liis Kolberg, Uku Raudvere, Ivan Kuzmin, Priit Adler, Jaak Vilo, Hedi Peterson:
g:Profiler - interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update). Nucleic Acids Res. 51(W1): 207-212 (2023) - 2020
- [j16]Dmytro Fishman, Ivan Kuzmin, Priit Adler, Jaak Vilo, Hedi Peterson:
PAWER: protein array web exploreR. BMC Bioinform. 21(1): 411 (2020) - [i2]Liis Kolberg, Uku Raudvere, Ivan Kuzmin, Jaak Vilo, Hedi Peterson:
gprofiler2 - an R package for gene list functional enrichment analysis and namespace conversion toolset g:Profiler. F1000Research 9: 709 (2020)
2010 – 2019
- 2019
- [j15]Uku Raudvere, Liis Kolberg, Ivan Kuzmin, Tambet Arak, Priit Adler, Hedi Peterson, Jaak Vilo:
g: Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Res. 47(Webserver-Issue): W191-W198 (2019) - 2016
- [j14]Raivo Kolde, Kaspar Märtens, Kaie Lokk, Sven Laur, Jaak Vilo:
seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data. Bioinform. 32(17): 2604-2610 (2016) - [j13]Jüri Reimand, Tambet Arak, Priit Adler, Liis Kolberg, Sulev Reisberg, Hedi Peterson, Jaak Vilo:
g: Profiler - a web server for functional interpretation of gene lists (2016 update). Nucleic Acids Res. 44(Webserver-Issue): W83-W89 (2016) - 2015
- [j12]Jonathan G. Lees, Jean-Karim Hériché, Ian Morilla, José María Fernández, Priit Adler, Martin Krallinger, Jaak Vilo, Alfonso Valencia, Jan Ellenberg, Juan A. G. Ranea, Christine A. Orengo:
FUN-L: gene prioritization for RNAi screens. Bioinform. 31(12): 2052-2053 (2015) - [j11]Tauno Metsalu, Jaak Vilo:
ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Res. 43(Webserver-Issue): W566-W570 (2015) - [i1]Raivo Kolde, Jaak Vilo:
GOsummaries: an R Package for Visual Functional Annotation of Experimental Data. F1000Research 4: 574 (2015) - 2013
- [j10]Liina Kamm, Dan Bogdanov, Sven Laur, Jaak Vilo:
A new way to protect privacy in large-scale genome-wide association studies. Bioinform. 29(7): 886-893 (2013) - 2012
- [j9]Raivo Kolde, Sven Laur, Priit Adler, Jaak Vilo:
Robust rank aggregation for gene list integration and meta-analysis. Bioinform. 28(4): 573-580 (2012) - [c19]Anna Leontjeva, Konstantin Tretyakov, Jaak Vilo, Taavi Tamkivi:
Fraud Detection: Methods of Analysis for Hypergraph Data. ASONAM 2012: 1060-1064 - 2011
- [j8]Jüri Reimand, Tambet Arak, Jaak Vilo:
g: Profiler - a web server for functional interpretation of gene lists (2011 update). Nucleic Acids Res. 39(Web-Server-Issue): 307-315 (2011) - [c18]Konstantin Tretyakov, Abel Armas-Cervantes, Luciano García-Bañuelos, Jaak Vilo, Marlon Dumas:
Fast fully dynamic landmark-based estimation of shortest path distances in very large graphs. CIKM 2011: 1785-1794 - 2010
- [c17]Meelis Kull, Konstantin Tretyakov, Jaak Vilo:
An Evolutionary Model of DNA Substring Distribution. Algorithms and Applications 2010: 147-157 - [c16]Einar Meister, Jaak Vilo, Neeme Kahusk:
National Programme for Estonian Language Technology: a Pre-final Summary. Baltic HLT 2010: 11-14 - [c15]Siim Orasmaa, Reina Käärik, Jaak Vilo, Tiit Hennoste:
Information Retrieval of Word Form Variants in Spoken Language Corpora Using Generalized Edit Distance. LREC 2010
2000 – 2009
- 2009
- [j7]Darya Krushevskaya, Hedi Peterson, Jüri Reimand, Meelis Kull, Jaak Vilo:
VisHiC - hierarchical functional enrichment analysis of microarray data. Nucleic Acids Res. 37(Web-Server-Issue): 587-592 (2009) - 2008
- [j6]Meelis Kull, Jaak Vilo:
Fast approximate hierarchical clustering using similarity heuristics. BioData Min. 1 (2008) - [j5]Priit Adler, Jüri Reimand, Jürgen Jänes, Raivo Kolde, Hedi Peterson, Jaak Vilo:
KEGGanim: pathway animations for high-throughput data. Bioinform. 24(4): 588-590 (2008) - [j4]Jüri Reimand, Laur Tooming, Hedi Peterson, Priit Adler, Jaak Vilo:
GraphWeb: mining heterogeneous biological networks for gene modules with functional significance. Nucleic Acids Res. 36(Web-Server-Issue): 452-459 (2008) - [c14]Margus Jäger, Liina Kamm, Darja Krushevskaja, Harry-Anton Talvik, Janno Veldemann, Andres Vilgota, Jaak Vilo:
Flexible Database Platform for Biomedical Research with Multiple User Interfaces and a Universal Query Engine. DB&IS 2008: 301-310 - [c13]Einar Meister, Jaak Vilo:
Strengthening the Estonian Language Technology. LREC 2008 - 2007
- [j3]Jüri Reimand, Meelis Kull, Hedi Peterson, Jaanus Hansen, Jaak Vilo:
g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Res. 35(Web-Server-Issue): 193-200 (2007) - 2004
- [j2]Misha Kapushesky, Patrick Kemmeren, Aedín C. Culhane, Steffen Durinck, Jan Ihmels, Christine Körner, Meelis Kull, Aurora Torrente, Ugis Sarkans, Jaak Vilo, Alvis Brazma:
Expression Profiler: next generation - an online platform for analysis of microarray data. Nucleic Acids Res. 32(Web-Server-Issue): 465-470 (2004) - 2003
- [j1]Alvis Brazma, Helen E. Parkinson, Ugis Sarkans, Mohammadreza Shojatalab, Jaak Vilo, Niran Abeygunawardena, Ele Holloway, Misha Kapushesky, Patrick Kemmeren, Gonzalo Garcia Lara, Ahmet Oezcimen, Philippe Rocca-Serra, Susanna-Assunta Sansone:
ArrayExpress - a public repository for microarray gene expression data at the EBI. Nucleic Acids Res. 31(1): 68-71 (2003) - 2002
- [c12]Kimmo Palin, Esko Ukkonen, Alvis Brazma, Jaak Vilo:
Correlating gene promoters and expression in gene disruption experiments. ECCB 2002: 172-180 - [c11]Johan Rung, Thomas Schlitt, Alvis Brazma, K. Freivalds, Jaak Vilo:
Building and analysing genome-wide gene disruption networks. ECCB 2002: 202-210 - 2001
- [c10]Steffen Möller, Jaak Vilo, Michael D. R. Croning:
Prediction of the coupling specificity of G protein coupled receptors to their G proteins. ISMB (Supplement of Bioinformatics) 2001: 174-181 - 2000
- [c9]Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Robinson, Esko Ukkonen:
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data. ISMB 2000: 384-394
1990 – 1999
- 1998
- [c8]Alvis Brazma, Inge Jonassen, Jaak Vilo, Esko Ukkonen:
Predicting gene regulatory elements from their expression data in the complete yeast genome. German Conference on Bioinformatics 1998 - [c7]Alvis Brazma, Inge Jonassen, Jaak Vilo, Esko Ukkonen:
Pattern Discovery in Biosequences. ICGI 1998: 257-270 - 1997
- [c6]Alvis Brazma, Jaak Vilo, Esko Ukkonen:
Finding transcription factor binding site combinations in the yeast genome. German Conference on Bioinformatics 1997: 57-59 - [c5]Alvis Brazma, Jaak Vilo, Esko Ukkonen, Kimmo Valtonen:
Data Mining for Regulatory Elements in Yeast Genome. ISMB 1997: 65-74 - 1996
- [c4]Alvis Brazma, Esko Ukkonen, Jaak Vilo:
Discovering Unbounded Unions of Regular Pattern Languages from Positive Examples (Extended Abstract). ISAAC 1996: 95-104 - [c3]Alvis Brazma, Inge Jonassen, Esko Ukkonen, Jaak Vilo:
Discovering Patterns and Subfamilies in Biosequences. ISMB 1996: 34-43 - 1994
- [c2]Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo:
An ALgorithm for Learning Hierarchical Classifiers. ECML 1994: 375-378 - 1992
- [c1]Jaak Vilo:
Implementing Attribute Grammars by Computational Models. PLILP 1992: 485-486
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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