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» eGIFT: Mining Gene Information from the Literature
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BMCBI
2008
166views more  BMCBI 2008»
13 years 7 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
ISMB
2000
13 years 9 months ago
A Pragmatic Information Extraction Strategy for Gathering Data on Genetic Interactions
We present in this paper a pragmatic strategy to perform information extraction from biologic texts. Since the emergence of the information extraction field, techniques have evolv...
Denys Proux, François Rechenmann, Laurent J...
JDWM
2007
90views more  JDWM 2007»
13 years 7 months ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
14 years 8 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...