Hagit Shatkay Vis

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27EEPhil Hyoun Lee, Hagit Shatkay: An integrative scoring system for ranking SNPs by their potential deleterious effects. Bioinformatics 25(8): 1048-1055 (2009)
26EEScott Brady, Hagit Shatkay: EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location. Pacific Symposium on Biocomputing 2008: 604-615
25EEPhil Hyoun Lee, Hagit Shatkay: Ranking single nucleotide polymorphisms by potential deleterious effects. BMC Bioinformatics 9(S-10): (2008)
24EEHagit Shatkay, Fengxia Pan, Andrey Rzhetsky, W. John Wilbur: Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users. Bioinformatics 24(18): 2086-2093 (2008)
23EEPhil Hyoun Lee, Hagit Shatkay: F-SNP: computationally predicted functional SNPs for disease association studies. Nucleic Acids Research 36(Database-Issue): 820-824 (2008)
22EEPhil Hyoun Lee, Hagit Shatkay: Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies. WABI 2007: 61-72
21EEHagit Shatkay, Annette Höglund, Scott Brady, Torsten Blum, Pierre Dönnes, Oliver Kohlbacher: SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data. Bioinformatics 23(11): 1410-1417 (2007)
20EENawei Chen, Hagit Shatkay, Dorothea Blostein: Exploring a new space of features for document classification: figure clustering. CASCON 2006: 369-372
19EETiago H. Falk, Hagit Shatkay, Wai-Yip Chan: Breast Cancer Prognosis via Gaussian Mixture Regression. CCECE 2006: 987-990
18EENawei Chen, Hagit Shatkay, Dorothea Blostein: Use of Figures in Literature Mining for Biomedical Digital Libraries. DIAL 2006: 180-197
17EEPhil Hyoun Lee, Hagit Shatkay: BNTagger: improved tagging SNP selection using Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 211-219
16EEHagit Shatkay, Nawei Chen, Dorothea Blostein: Integrating image data into biomedical text categorization. ISMB (Supplement of Bioinformatics) 2006: 446-453
15EEAnnette Höglund, Torsten Blum, Scott Brady, Pierre Dönnes, John San Miguel, Matthew Rocheford, Oliver Kohlbacher, Hagit Shatkay: Significantly Improved Prediction of Subcellular Localization by Integrating Text and Protein Sequence Data . Pacific Symposium on Biocomputing 2006: 16-27
14EEMonica Chagoyen, Pedro Carmona-Saez, Hagit Shatkay, José María Carazo, Alberto D. Pascual-Montano: Discovering semantic features in the literature: a foundation for building functional associations. BMC Bioinformatics 7: 41 (2006)
13EEMalik Yousef, Michael Nebozhyn, Hagit Shatkay, Stathis Kanterakis, Louise C. Showe, Michael K. Showe: Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier. Bioinformatics 22(11): 1325-1334 (2006)
12EEZ. H. Zheng, Scott Brady, A. Garg, Hagit Shatkay: Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track. TREC 2005
11 Hagit Shatkay: Hairpins in bookstacks: Information retrieval from biomedical text. Briefings in Bioinformatics 6(3): 222-238 (2005)
10EEHagit Shatkay, Jason Miller, Clark M. Mobarry, Michael Flanigan, Shibu Yooseph, Granger G. Sutton: ThurGood: Evaluating Assembly-to-Assembly Mapping. Journal of Computational Biology 11(5): 800-811 (2004)
9EEHagit Shatkay, Ronen Feldman: Mining the Biomedical Literature in the Genomic Era: An Overview. Journal of Computational Biology 10(6): 821-855 (2003)
8EEHagit Shatkay, Stephen Edwards, Mark Boguski: Information Retrieval Meets Gene Analysis. IEEE Intelligent Systems 17(2): 45-53 (2002)
7EEHagit Shatkay, Leslie Pack Kaelbling: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. J. Artif. Intell. Res. (JAIR) 16: 167-207 (2002)
6EEHagit Shatkay, W. John Wilbur: Finding Themes in Medline Documents: Probabilistic Similarity Search. ADL 2000: 183-192
5 Hagit Shatkay, Stephen Edwards, W. John Wilbur, Mark Boguski: Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis. ISMB 2000: 317-328
4EEHagit Shatkay: Learning Hidden Markov Models with Geometrical Constraints. UAI 1999: 602-611
3 Hagit Shatkay, Leslie Pack Kaelbling: Heading in the Right Direction. ICML 1998: 531-539
2 Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
1EEHagit Shatkay, Stanley B. Zdonik: Approximate Queries and Representations for Large Data Sequences. ICDE 1996: 536-545

Coauthor Index

1Dorothea Blostein [16] [18] [20]
2Torsten Blum [15] [21]
3Mark Boguski [5] [8]
4Scott Brady [12] [15] [21] [26]
5José María Carazo [14]
6Pedro Carmona-Saez [14]
7Monica Chagoyen [14]
8Wai-Yip Chan [19]
9Nawei Chen [16] [18] [20]
10Pierre Dönnes [15] [21]
11Stephen Edwards [5] [8]
12Tiago H. Falk [19]
13Ronen Feldman [9]
14Michael Flanigan [10]
15A. Garg [12]
16Annette Höglund [15] [21]
17Leslie Pack Kaelbling [2] [3] [7]
18Stathis Kanterakis [13]
19Oliver Kohlbacher [15] [21]
20Phil Hyoun Lee [17] [22] [23] [25] [27]
21John San Miguel [15]
22Jason Miller [10]
23Clark M. Mobarry [10]
24Michael Nebozhyn [13]
25Fengxia Pan [24]
26Alberto D. Pascual-Montano [14]
27Matthew Rocheford [15]
28Andrey Rzhetsky [24]
29Louise C. Showe [13]
30Michael K. Showe [13]
31Granger G. Sutton [10]
32W. John Wilbur [5] [6] [24]
33Shibu Yooseph [10]
34Malik Yousef [13]
35Stanley B. Zdonik [1]
36Z. H. Zheng [12]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)