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» Analysis of variance components in gene expression data
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BMCBI
2005
137views more  BMCBI 2005»
14 years 9 months ago
A standard curve based method for relative real time PCR data processing
Background: Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may no...
Alexey Larionov, Andreas Krause, William Miller
BMCBI
2010
123views more  BMCBI 2010»
14 years 10 months ago
Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
Background: Different microarray studies have compiled gene lists for predicting outcomes of a range of treatments and diseases. These have produced gene lists that have little ov...
Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Ha...
JBI
2008
159views Bioinformatics» more  JBI 2008»
14 years 9 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar
IJBRA
2007
97views more  IJBRA 2007»
14 years 9 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...
BMCBI
2008
126views more  BMCBI 2008»
14 years 10 months ago
Methods for evaluating gene expression from Affymetrix microarray datasets
Background: Affymetrix high density oligonucleotide expression arrays are widely used across all fields of biological research for measuring genome-wide gene expression. An import...
Ning Jiang, Lindsey J. Leach, Xiaohua Hu, Elena Po...