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» A Probabilistic Model for Identifying Protein Names and thei...
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BMCBI
2008
153views more  BMCBI 2008»
13 years 5 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
BMCBI
2004
166views more  BMCBI 2004»
13 years 5 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
NAR
2007
150views more  NAR 2007»
13 years 4 months ago
CellCircuits: a database of protein network models
CellCircuits (http://www.cellcircuits.org) is an openaccess database of molecular network models, designed to bridge the gap between databases of individual pairwise molecular int...
H. Craig Mak, Mike Daly, Bianca Gruebel, Trey Idek...
NAR
2011
225views Computer Vision» more  NAR 2011»
12 years 8 months ago
IsoBase: a database of functionally related proteins across PPI networks
We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorh...
Daniel Park, Rohit Singh, Michael Baym, Chung-Shou...
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
13 years 11 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao