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» Data-adaptive test statistics for microarray data
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BMCBI
2004
169views more  BMCBI 2004»
13 years 7 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
BMCBI
2006
154views more  BMCBI 2006»
13 years 7 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang
BMCBI
2006
199views more  BMCBI 2006»
13 years 7 months ago
PageMan: An interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments
Background: Microarray technology has become a widely accepted and standardized tool in biology. The first microarray data analysis programs were developed to support pair-wise co...
Björn Usadel, Axel Nagel, Dirk Steinhauser, Y...
HPDC
2010
IEEE
13 years 8 months ago
Optimization of a parallel permutation testing function for the SPRINT R package
The statistical language R and Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by these analyses has reached...
Savvas Petrou, Terence M. Sloan, Muriel Mewissen, ...
BMCBI
2007
197views more  BMCBI 2007»
13 years 7 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park