Hagit Shatkay
Hagit Shatkay
Professor of Computer and Information Sciences, University of Delaware
Verified email at - Homepage
Cited by
Cited by
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
Approximate queries and representations for large data sequences
H Shatkay, SB Zdonik
Proceedings of the Twelfth International Conference on Data Engineering, 536-545, 1996
F-SNP: computationally predicted functional SNPs for disease association studies
PH Lee, H Shatkay
Nucleic acids research 36 (suppl_1), D820-D824, 2007
Mining the biomedical literature in the genomic era: an overview
H Shatkay, R Feldman
Journal of computational biology 10 (6), 821-855, 2003
Learning topological maps with weak local odometric information
H Shatkay, LP Kaelbling
IJCAI (2), 920-929, 1997
Whole-genome shotgun assembly and comparison of human genome assemblies
S Istrail, GG Sutton, L Florea, AL Halpern, CM Mobarry, R Lippert, ...
Proceedings of the National Academy of Sciences 101 (7), 1916-1921, 2004
Genes, themes and microarrays
H Shatkay, S Edwards, WJ Wilbur, M Boguski
Proc. Int. Conf. Intell. Syst. Mol. Biol 8, 317-327, 2000
Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier
M Yousef, M Nebozhyn, H Shatkay, S Kanterakis, LC Showe, MK Showe
Bioinformatics 22 (11), 1325-1334, 2006
New directions in biomedical text annotation: definitions, guidelines and corpus construction
WJ Wilbur, A Rzhetsky, H Shatkay
BMC bioinformatics 7 (1), 1-10, 2006
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text
M Krallinger, M Vazquez, F Leitner, D Salgado, A Chatr-Aryamontri, ...
BMC bioinformatics 12, 1-31, 2011
SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data
H Shatkay, A Höglund, S Brady, T Blum, P Dönnes, O Kohlbacher
Bioinformatics 23 (11), 1410-1417, 2007
SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins
S Briesemeister, T Blum, S Brady, Y Lam, O Kohlbacher, H Shatkay
Journal of proteome research 8 (11), 5363-5366, 2009
Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users
H Shatkay, F Pan, A Rzhetsky, WJ Wilbur
Bioinformatics 24 (18), 2086-2093, 2008
Text mining for biology-the way forward: opinions from leading scientists
RB Altman, CM Bergman, J Blake, C Blaschke, A Cohen, F Gannon, ...
Genome biology 9, 1-15, 2008
Integrating image data into biomedical text categorization
H Shatkay, N Chen, D Blostein
Bioinformatics 22 (14), e446-e453, 2006
An integrative scoring system for ranking SNPs by their potential deleterious effects
PH Lee, H Shatkay
Bioinformatics 25 (8), 1048-1055, 2009
Discovering semantic features in the literature: a foundation for building functional associations
M Chagoyen, P Carmona-Saez, H Shatkay, JM Carazo, ...
BMC bioinformatics 7 (1), 1-19, 2006
Utilizing ECG-based heartbeat classification for hypertrophic cardiomyopathy identification
QA Rahman, LG Tereshchenko, M Kongkatong, T Abraham, MR Abraham, ...
IEEE transactions on nanobioscience 14 (5), 505-512, 2015
EpiLoc: a (working) text-based system for predicting protein subcellular location
S Brady, H Shatkay
Biocomputing 2008, 604-615, 2008
Rule-based extraction of experimental evidence in the biomedical domain: the KDD Cup 2002 (task 1)
Y Regev, M Finkelstein-Landau, R Feldman, M Gorodetsky, X Zheng, ...
ACM Sigkdd Explorations Newsletter 4 (2), 90-92, 2002
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