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» Discovering gene annotations in biomedical text databases
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BMCBI
2005
151views more  BMCBI 2005»
14 years 9 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
AIMSA
2004
Springer
15 years 3 months ago
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Jae-Hong Eom, Byoung-Tak Zhang
BMCBI
2010
154views more  BMCBI 2010»
14 years 9 months ago
LINNAEUS: A species name identification system for biomedical literature
Background: The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data min...
Martin Gerner, Goran Nenadic, Casey M. Bergman
BMCBI
2006
163views more  BMCBI 2006»
14 years 9 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
Finding genomic ontology terms in text using evidence content
Background: The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These...
Francisco M. Couto, Mário J. Silva, Pedro C...