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» Using Multiple Alignments to Improve Gene Prediction
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JMLR
2010
108views more  JMLR 2010»
13 years 2 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
EDM
2010
113views Data Mining» more  EDM 2010»
13 years 8 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan
NAR
2010
123views more  NAR 2010»
13 years 2 months ago
Xenbase: gene expression and improved integration
Xenbase (www.xenbase.org), the model organism database for Xenopus laevis and X. (Silurana) tropicalis, is the principal centralized resource of genomic, development data and comm...
Jeff B. Bowes, Kevin A. Snyder, Erik Segerdell, Ch...
BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov
BMCBI
2005
127views more  BMCBI 2005»
13 years 7 months ago
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification
Background: Gene expression programs depend on recognition of cis elements in promoter region of target genes by transcription factors (TFs), but how TFs regulate gene expression ...
Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-...