Hagit Shatkay

	2009
28		Phil Hyoun Lee, Hagit Shatkay: An integrative scoring system for ranking SNPs by their potential deleterious effects. Bioinformatics 25(8): 1048-1055 (2009)
	2008
27		Scott Brady, Hagit Shatkay: EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location. Pacific Symposium on Biocomputing 2008: 604-615
26		Phil Hyoun Lee, Hagit Shatkay: Ranking single nucleotide polymorphisms by potential deleterious effects. BMC Bioinformatics 9(S-10): (2008)
25		Hagit 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)
24		Phil Hyoun Lee, Hagit Shatkay: F-SNP: computationally predicted functional SNPs for disease association studies. Nucleic Acids Research 36(Database-Issue): 820-824 (2008)
	2007
23		Phil Hyoun Lee, Hagit Shatkay: Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies. WABI 2007: 61-72
22		Hagit 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)
	2006
21		Nawei Chen, Hagit Shatkay, Dorothea Blostein: Exploring a new space of features for document classification: figure clustering. CASCON 2006: 369-372
20		Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan: Breast Cancer Prognosis via Gaussian Mixture Regression. CCECE 2006: 987-990
19		Nawei Chen, Hagit Shatkay, Dorothea Blostein: Use of Figures in Literature Mining for Biomedical Digital Libraries. DIAL 2006: 180-197
18		Phil Hyoun Lee, Hagit Shatkay: BNTagger: improved tagging SNP selection using Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 211-219
17		Hagit Shatkay, Nawei Chen, Dorothea Blostein: Integrating image data into biomedical text categorization. ISMB (Supplement of Bioinformatics) 2006: 446-453
16		Annette 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
15		W. John Wilbur, Andrey Rzhetsky, Hagit Shatkay: New directions in biomedical text annotation: definitions, guidelines and corpus construction. BMC Bioinformatics 7: 356 (2006)
14		Monica 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)
13		Malik 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)
	2005
12		Z. 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)
	2004
10		Hagit 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)
	2003
9		Hagit Shatkay, Ronen Feldman: Mining the Biomedical Literature in the Genomic Era: An Overview. Journal of Computational Biology 10(6): 821-855 (2003)
	2002
8		Hagit Shatkay, Stephen Edwards, Mark Boguski: Information Retrieval Meets Gene Analysis. IEEE Intelligent Systems 17(2): 45-53 (2002)
7		Hagit 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)
	2000
6		Hagit 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
	1999
4		Hagit Shatkay: Learning Hidden Markov Models with Geometrical Constraints. UAI 1999: 602-611
	1998
3		Hagit Shatkay, Leslie Pack Kaelbling: Heading in the Right Direction. ICML 1998: 531-539
	1997
2		Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
	1996
1		Hagit Shatkay, Stanley B. Zdonik: Approximate Queries and Representations for Large Data Sequences. ICDE 1996: 536-545

Coauthor Index

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

Colors in the list of coauthors