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Hagit Shatkay
2010 – today
- 2013
[j19]Andrew Wong, Hagit Shatkay: Protein Function Prediction using Text-based Features extracted from the Biomedical Literature: The CAFA Challenge. BMC Bioinformatics 14(S-3): S14 (2013)- [c22]Ramanuja Simha, Hagit Shatkay: Protein (Multi-)Location Prediction: Using Location Inter-dependencies in a Probabilistic Framework. WABI 2013: 3-17
- [i4]Hagit Shatkay: Learning Hidden Markov Models with Geometrical Constraints. CoRR abs/1301.6740 (2013)
- [i3]Ramanuja Simha, Hagit Shatkay: Protein (Multi-)Location Prediction: Using Location Inter-Dependencies in a Probabilistic Framework. CoRR abs/1307.7795 (2013)
- 2012
- [j18]Anália Lourenço, Michael Conover, Andrew Wong, Azadeh Nematzadeh, Fengxia Pan, Hagit Shatkay, Luis Mateus Rocha: Correction: A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature. BMC Bioinformatics 13: 180 (2012)
- [c21]Hagit Shatkay, Ramya Narayanaswamy, Santosh S. Nagaral, Na Harrington, M. V. Rohith, Gowri Somanath, Ryan Tarpine, Kyle Schutter, Tim Johnstone, Dorothea Blostein, Sorin Istrail, Chandra Kambhamettu: OCR-Based Image Features for Biomedical Image and Article Classification: Identifying Documents Relevant to Genomic Cis-Regulatory Elements. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012
- [c20]Hagit Shatkay, Ramya Narayanaswamy, Santosh S. Nagaral, Na Harrington, M. V. Rohith, Gowri Somanath, Ryan Tarpine, Kyle Schutter, Tim Johnstone, Dorothea Blostein, Sorin Istrail, Chandra Kambhamettu: OCR-based image features for biomedical image and article classification: identifying documents relevant to cis-regulatory elements. BCB 2012: 98-104
- [c19]Xia Bi, Hongzhan Huang, Sherri Matis-Mitchell, Peter B. McGarvey, Manabu Torii, Hagit Shatkay, Cathy H. Wu: Building a classifier for identifying sentences pertaining to disease-drug relationships in tardive dyskinesia. BIBM 2012: 1-4
- [c18]Anita de Waard, Sophia Ananiadou, Maryann E. Martone, Ágnes Sándor, Hagit Shatkay: Detecting and using document structure in scientific text. IHI 2012: 883-884
- 2011
- [j17]Anália Lourenço, Michael Conover, Andrew Wong, Azadeh Nematzadeh, Fengxia Pan, Hagit Shatkay, Luis Mateus Rocha: A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature. BMC Bioinformatics 12(S-8): S12 (2011)
- [j16]Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-aryamontri, Andrew G. Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, Luisa Castagnoli, Gianni Cesareni, Mike Tyers, Gerold Schneider, Fabio Rinaldi, Robert Leaman, Graciela Gonzalez, Sérgio Matos, Sun Kim, W. John Wilbur, Luis Rocha, Hagit Shatkay, Ashish V. Tendulkar, Shashank Agarwal, Feifan Liu, Xinglong Wang, Rafal Rak, Keith Noto, Charles Elkan, Zhiyong Lu: The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinformatics 12(S-8): S3 (2011)
- [c17]Luis D. Lopez, Jingyi Yu, Cecilia N. Arighi, Hongzhan Huang, Hagit Shatkay, Cathy H. Wu: An Automatic System for Extracting Figures and Captions in Biomedical PDF Documents. BIBM 2011: 578-581
- [i2]Anália Lourenço, Michael Conover, Andrew Wong, Azadeh Nematzadeh, Fengxia Pan, Hagit Shatkay, Luis Mateus Rocha: A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature. CoRR abs/1103.4090 (2011)
- [i1]Leslie Pack Kaelbling, Hagit Shatkay: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. CoRR abs/1106.0680 (2011)
- 2010
- [c16]Hagit Shatkay, Doheon Lee, Min Song, Shamkant B. Navathe: DTMBIO workshop summary. CIKM 2010: 1971-1972
- [e1]Miguel P. Rocha, Florentino Fernández Riverola, Hagit Shatkay, Juan M. Corchado (Eds.): Advances in Bioinformatics - 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010), Guimarães, Portugal, 16-18 June 2010. Advances in Soft Computing 74, Springer 2010, ISBN 978-3-642-13213-1
2000 – 2009
- 2009
- [j15]Phil Hyoun Lee, Hagit Shatkay: An integrative scoring system for ranking SNPs by their potential deleterious effects. Bioinformatics 25(8): 1048-1055 (2009)
- [j14]Phil Hyoun Lee, Jae-Yoon Jung, Hagit Shatkay: Functionally informative tag SNP selection using a pareto-optimal approach: playing the game of life. BMC Bioinformatics 10(S-13): 0 (2009)
- [j13]Andrey Rzhetsky, Hagit Shatkay, W. John Wilbur: How to Get the Most out of Your Curation Effort. PLoS Computational Biology 5(5) (2009)
- 2008
- [j12]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)
- [j11]Phil Hyoun Lee, Hagit Shatkay: Ranking single nucleotide polymorphisms by potential deleterious effects. BMC Bioinformatics 9(S-10) (2008)
- [j10]Phil Hyoun Lee, Hagit Shatkay: F-SNP: computationally predicted functional SNPs for disease association studies. Nucleic Acids Research 36(Database-Issue): 820-824 (2008)
- [c15]Scott Brady, Hagit Shatkay: EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location. Pacific Symposium on Biocomputing 2008: 604-615
- 2007
- [j9]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)
- [c14]Phil Hyoun Lee, Hagit Shatkay: Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies. WABI 2007: 61-72
- 2006
- [j8]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)
- [j7]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)
- [j6]W. John Wilbur, Andrey Rzhetsky, Hagit Shatkay: New directions in biomedical text annotation: definitions, guidelines and corpus construction. BMC Bioinformatics 7: 356 (2006)
- [c13]Nawei Chen, Hagit Shatkay, Dorothea Blostein: Exploring a new space of features for document classification: figure clustering. CASCON 2006: 369-372
- [c12]Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan: Breast Cancer Prognosis via Gaussian Mixture Regression. CCECE 2006: 987-990
- [c11]Nawei Chen, Hagit Shatkay, Dorothea Blostein: Use of Figures in Literature Mining for Biomedical Digital Libraries. DIAL 2006: 180-197
- [c10]Phil Hyoun Lee, Hagit Shatkay: BNTagger: improved tagging SNP selection using Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 211-219
- [c9]Hagit Shatkay, Nawei Chen, Dorothea Blostein: Integrating image data into biomedical text categorization. ISMB (Supplement of Bioinformatics) 2006: 446-453
- [c8]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
- 2005
- [j5]Hagit Shatkay: Hairpins in bookstacks: Information retrieval from biomedical text. Briefings in Bioinformatics 6(3): 222-238 (2005)
- [c7]Z. H. Zheng, Scott Brady, A. Garg, Hagit Shatkay: Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track. TREC 2005
- 2004
- [j4]Hagit Shatkay, Jason R. 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
- [j3]Hagit Shatkay, Ronen Feldman: Mining the Biomedical Literature in the Genomic Era: An Overview. Journal of Computational Biology 10(6): 821-855 (2003)
- 2002
- [j2]Hagit Shatkay, Stephen Edwards, Mark Boguski: Information Retrieval Meets Gene Analysis. IEEE Intelligent Systems 17(2): 45-53 (2002)
- [j1]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
- [c6]Hagit Shatkay, W. John Wilbur: Finding Themes in Medline Documents: Probabilistic Similarity Search. ADL 2000: 183-192
- [c5]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
1990 – 1999
- 1999
- [c4]
- 1998
- [c3]
- 1997
- [c2]Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
- 1996
- [c1]Hagit Shatkay, Stanley B. Zdonik: Approximate Queries and Representations for Large Data Sequences. ICDE 1996: 536-545
Coauthor Index
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last updated on 2013-10-02 11:18 CEST by the dblp team