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» eGIFT: Mining Gene Information from the Literature
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KDD
2009
ACM
219views Data Mining» more  KDD 2009»
14 years 5 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
AIMSA
2004
Springer
13 years 10 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
2008
164views more  BMCBI 2008»
13 years 5 months ago
MeInfoText: associated gene methylation and cancer information from text mining
Background: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a va...
Yu-Ching Fang, Hsuan-Cheng Huang, Hsueh-Fen Juan
BMCBI
2008
100views more  BMCBI 2008»
13 years 4 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake