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» Combined Gene Selection Methods for Microarray Data Analysis
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ACSC
2005
IEEE
15 years 5 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
BMCBI
2006
101views more  BMCBI 2006»
14 years 12 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
BMCBI
2010
108views more  BMCBI 2010»
14 years 11 months ago
iGTP: A software package for large-scale gene tree parsimony analysis
Background: The ever-increasing wealth of genomic sequence information provides an unprecedented opportunity for large-scale phylogenetic analysis. However, species phylogeny infe...
Ruchi Chaudhary, Mukul S. Bansal, André Weh...
CGF
2008
142views more  CGF 2008»
14 years 12 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
BMCBI
2006
109views more  BMCBI 2006»
14 years 12 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...