Papers authored by Michael Krauthammer
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MU2A—reconciling the genome and transcriptome to determine the effects of base substitutions
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A New Pivoting and Iterative Text Detection Algorithm for Biomedical Images
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,
James P. McCusker,
Yuval Kluger,
Mario Sznol
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,
Robert L. Camp,
William R. Bradley,
Stephan Ariyan,
Harriet M. Kluger,
David L. Rimm
Melanoma Prognostic Model Using Tissue Microarrays and Genetic Algorithms
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,
Shiffman Rn,
Richard N. Shiffman
Embedding the Guideline Elements Model in Web Ontology Language
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Enriching PubMed Related Article Search with Sentence Level Co-citations
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Semantic web data warehousing for caGrid
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Structural similarity assessment for drug sensitivity prediction in cancer
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Elaine Cheng,
Michael Krauthammer ,
Mario Sznol,
Stephan Ariyan,
Deepak Narayan,
Annette M. Molinaro,
Ruth Halaban,
Sherman M. Weissman
Genome-wide screen of promoter methylation identifies novel markers in melanoma
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,
Mattia Pelizzola ,
Elaine Cheng,
Daniela Kovacs,
Mario Sznol,
Stephan Ariyan,
Deepak Narayan,
Antonella Bacchiocchi,
Annette Molinaro,
Yuval Kluger,
Min Deng,
Nam Tran,
Wengeng Zhang,
Mauro Picardo
and 1 other authors
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Puyao Li,
Eugene Davidov,
Lucas C. Butler,
Joshua Copel,
Mikko Katajamaa,
Matej Oresic,
Irina Buhimschi,
Catalin Buhimschi,
Michael Snyder,
Joseph A. Madri
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Using Semantic Web Technologies to Annotate and Align Microarray Designs
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Exploring the use of image text for biomedical literature retrieval.
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,
Martin Krallinger,
Carlos Rodriguez-Penagos,
Jörg Hakenberg ,
Conrad Plake,
Cheng-Ju Kuo,
Chun-Nan Hsu,
Richard Tzong-Han Tsai,
Hsi-Chuan Hung,
William W. Lau,
Calvin A. Johnson,
Rune Saetre,
Rune Sætre,
Kazuhiro Yoshida,
Yan Hua Chen
and 20 other authors
Introducing meta-services for biomedical information extraction
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Yale Image Finder (YIF): a new search engine for retrieving biomedical images
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Chengjie Sun,
Heng-Hui Liu,
Rafael Torres,
Michael Krauthammer ,
William W. Lau
and 6 other authors
Overview of BioCreative II gene normalization
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,
Martin Schultz,
Mark Gerstein
Leveraging the structure of the Semantic Web to enhance information retrieval for proteomics
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