| 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 |