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» Statistical Approach to Networks-on-Chip
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80
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BMCBI
2007
147views more  BMCBI 2007»
14 years 10 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
88
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BMCBI
2010
142views more  BMCBI 2010»
14 years 10 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
BMCBI
2007
158views more  BMCBI 2007»
14 years 10 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
76
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BMCBI
2008
72views more  BMCBI 2008»
14 years 10 months ago
HECTAR: A method to predict subcellular targeting in heterokonts
Background: The heterokonts are a particularly interesting group of eukaryotic organisms; they include many key species of planktonic and coastal algae and several important patho...
Bernhard Gschloessl, Yann Guermeur, J. Mark Cock
95
Voted
BMCBI
2007
165views more  BMCBI 2007»
14 years 10 months ago
TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays
Background: A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed....
Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie,...