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BMCBI
2010
145views more  BMCBI 2010»
13 years 7 months ago
Clustering metagenomic sequences with interpolated Markov models
Background: Sequencing of environmental DNA (often called metagenomics) has shown tremendous potential to uncover the vast number of unknown microbes that cannot be cultured and s...
David R. Kelley, Steven L. Salzberg
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Statistical methodology for the analysis of dye-switch microarray experiments
Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...
BMCBI
2008
120views more  BMCBI 2008»
13 years 7 months ago
Statistical issues in the analysis of Illumina data
Background: Illumina bead-based arrays are becoming increasingly popular due to their high degree of replication and reported high data quality. However, little attention has been...
Mark J. Dunning, Nuno L. Barbosa-Morais, Andy G. L...
CSDA
2008
128views more  CSDA 2008»
13 years 7 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
ALMOB
2006
80views more  ALMOB 2006»
13 years 7 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
Grégory Nuel