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» Discovering Hidden Knowledge from Biomedical Literature
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BMCBI
2008
100views more  BMCBI 2008»
13 years 7 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
GRC
2005
IEEE
14 years 1 months ago
Visualization of protein-protein interaction network for knowledge discovery
A new visualization tool, called "Visual Concept Explorer (VCE)", was developed to visualize concept relationships in bio-medical literatura VCE integrates Pathfinder Net...
Weizhong Zhu, Xia Lin, Xiaohua Hu, Bahrad A. Sokha...
KCAP
2003
ACM
14 years 24 days ago
LitLinker: capturing connections across the biomedical literature
The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this c...
Wanda Pratt, Meliha Yetisgen-Yildiz
FLAIRS
2006
13 years 9 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang