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Hagit Shatkay

Research Profile

Occupations

Computational Biology

Activities & Behaviors

Chemicals & Drugs

Proteins

Concepts & Ideas

Physiology

Co-author Network

Publications

TOP 3
Andrew Wong; Hagit Shatkay
Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge.
Phil Hyoun Lee; Jae-Yoon Jung; Hagit Shatkay
Functionally informative tag SNP selection using a Pareto-optimal approach.
Sebastian Briesemeister; Torsten Blum; Scott Brady; Yin Lam; Oliver Kohlbacher; Hagit Shatkay
SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins.

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All Publications

2013: Andrew Wong; Hagit Shatkay
Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge.
BMC bioinformatics 2013;14 Suppl 3():S14.
2010: Phil Hyoun Lee; Jae-Yoon Jung; Hagit Shatkay
Functionally informative tag SNP selection using a Pareto-optimal approach.
Advances in experimental medicine and biology 2010;680():173-80.
2009: Sebastian Briesemeister; Torsten Blum; Scott Brady; Yin Lam; Oliver Kohlbacher; Hagit Shatkay
SherLoc2: a high-accuracy hybrid method for predicting subcellular localization of proteins.
Journal of proteome research 2009;8(11):5363-6.
2009: Andrey Rzhetsky; Hagit Shatkay; W John Wilbur
How to get the most out of your curation effort.
PLoS computational biology 2009;5(5):e1000391.
2009: Phil Hyoun Lee; Hagit Shatkay
An integrative scoring system for ranking SNPs by their potential deleterious effects.
Bioinformatics (Oxford, England) 2009;25(8):1048-55.
2008: 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 (Oxford, England) 2008;24(18):2086-93.
2008: Phil Hyoun Lee; Hagit Shatkay
Ranking single nucleotide polymorphisms by potential deleterious effects.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 2008;():667-71.
2008: Russ B Altman; Casey M Bergman; Judith Blake; christian blaschke; Aaron M Cohen; Frank Gannon; Les Grivell; Udo Hahn; William Hersh; Lynette Hirschman; Lars Juhl Jensen; Martin Krallinger; Barend Mons; Seán O'Donoghue; Manuel Peitsch; Dietrich Rebholz-Schuhmann; Hagit Shatkay; Carmen Galvez
Text mining for biology--the way forward: opinions from leading scientists.
Genome biology 2008;9 Suppl 2():S7.
2008: Scott Brady; Hagit Shatkay
EpiLoc: a (working) text-based system for predicting protein subcellular location.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2008;():604-15.
2008: Phil Hyoun Lee; Hagit Shatkay
F-SNP: computationally predicted functional SNPs for disease association studies.
Nucleic acids research 2008;36(Database issue):D820-4.
2007: 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 (Oxford, England) 2007;23(11):1410-7.
2007: Jess J Shen; Phil-Hyoun Lee; Jeanette J A Holden; Hagit Shatkay
Using cluster ensemble and validation to identify subtypes of pervasive developmental disorders.
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 2007;():666-70.
2006: Hagit Shatkay; Nawei Chen; Dorothea Blostein
Integrating image data into biomedical text categorization.
Bioinformatics (Oxford, England) 2006;22(14):e446-53.
2006: Phil Hyoun Lee; Hagit Shatkay
BNTagger: improved tagging SNP selection using Bayesian networks.
Bioinformatics (Oxford, England) 2006;22(14):e211-9.
2006: Malik Yousef; Michael Nebozhyn; Hagit Shatkay; Stathis Kanterakis; Louise C Showe; Michael K Showe
Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier.
Bioinformatics (Oxford, England) 2006;22(11):1325-34.
2006: 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. Pacific Symposium on Biocomputing 2006;():16-27.
2006: W John Wilbur; Andrey Rzhetsky; Hagit Shatkay
New directions in biomedical text annotation: definitions, guidelines and corpus construction.
BMC bioinformatics 2006;7():356.
2006: Monica Chagoyen; PEdro Carmona-Saez; Hagit Shatkay; Jose M Carazo; Alberto Pascual-Montano
Discovering semantic features in the literature: a foundation for building functional associations.
BMC bioinformatics 2006;7():41.
2005: Hagit Shatkay
Hairpins in bookstacks: information retrieval from biomedical text.
Briefings in bioinformatics 2005;6(3):222-38.
2004: Hagit Shatkay; Jason Miller; Clark Mobarry; Michael Flanigan; Shibu Yooseph; Granger Sutton
ThurGood: evaluating assembly-to-assembly mapping.
Journal of computational biology : a journal of computational molecular cell biology 2004;11(5):800-11.
2003: Hagit Shatkay; Ronen Feldman
Mining the biomedical literature in the genomic era: an overview.
Journal of computational biology : a journal of computational molecular cell biology 2003;10(6):821-55.
2000: Hagit Shatkay; Stephen Wilton Edwards; W John Wilbur; Mark S Boguski
Genes, themes and microarrays: using information retrieval for large-scale gene analysis.
Proceedings / ... International Conference on Intelligent Systems for Molecular Biology ; ISMB. International Conference on Intelligent Systems for Molecular Biology 2000;8():317-28.