L
Lorraine K. Tanabe
Researcher at National Institutes of Health
Publications - 20
Citations - 3621
Lorraine K. Tanabe is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Named-entity recognition & Gene expression profiling. The author has an hindex of 15, co-authored 20 publications receiving 3475 citations.
Papers
More filters
Journal ArticleDOI
A gene expression database for the molecular pharmacology of cancer
Uwe Scherf,Douglas T. Ross,Mark Waltham,Lawrence H. Smith,Jae K. Lee,Lorraine K. Tanabe,Kurt W. Kohn,William C. Reinhold,Timothy G. Myers,Darren T. Andrews,Dominic A. Scudiero,Michael B. Eisen,Edward A. Sausville,Yves Pommier,David Botstein,Patrick O. Brown,John N. Weinstein +16 more
TL;DR: Gene-drug relationships for the clinical agents 5-fluorouracil and L-asparaginase exemplify how variations in the transcript levels of particular genes relate to mechanisms of drug sensitivity and resistance.
Proceedings ArticleDOI
EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature
TL;DR: The mechanisms for automatically generating assertions about drugs and genes relevant to cancer and on a simple application, conceptual clustering of documents are reported on.
Journal ArticleDOI
Overview of BioCreative II gene mention recognition
Larry Smith,Lorraine K. Tanabe,Rie Johnson nee Ando,Cheng-Ju Kuo,I-Fang Chung,Chun-Nan Hsu,Yu-Shi Lin,Roman Klinger,Christoph M. Friedrich,Kuzman Ganchev,Manabu Torii,Hongfang Liu,Barry Haddow,Craig A. Struble,Richard J. Povinelli,Andreas Vlachos,William A. Baumgartner,Lawrence Hunter,Bob Carpenter,Richard Tzong-Han Tsai,Richard Tzong-Han Tsai,Hong-Jie Dai,Hong-Jie Dai,Feng Liu,Yifei Chen,Chengjie Sun,Sophia Katrenko,Pieter Adriaans,Christian Blaschke,Rafael Torres,Mariana Neves,Preslav Nakov,Preslav Nakov,Anna Divoli,Manuel Maña-López,Jacinto Mata,W. John Wilbur +36 more
TL;DR: It is demonstrated that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions.
Journal ArticleDOI
Tagging gene and protein names in biomedical text.
TL;DR: This work proposes to approach the detection of gene and protein names in scientific abstracts as part-of-speech tagging, the most basic form of linguistic corpus annotation, and demonstrates that this method can be applied to large sets of MEDLINE abstracts, without the need for special conditions or human experts to predetermine relevant subsets.
Journal ArticleDOI
GENETAG: a tagged corpus for gene/protein named entity recognition.
TL;DR: The annotation of GENETAG required intricate manual judgments by annotators which hindered tagging consistency, and the data were pre-segmented into words, to provide indices supporting comparison of system responses to the "gold standard", however, character- based indices would have been more robust than word-based indices.