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» Class discovery in gene expression data
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BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
A Population Proportion approach for ranking differentially expressed genes
Background: DNA microarrays are used to investigate differences in gene expression between two or more classes of samples. Most currently used approaches compare mean expression l...
Mugdha Gadgil
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Parallel multiplicity and error discovery rate (EDR) in microarray experiments
Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
Wayne Wenzhong Xu, Clay J. Carter
ITA
2006
167views Communications» more  ITA 2006»
13 years 7 months ago
Characterization of lung tumor subtypes through gene expression cluster validity assessment
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
Giorgio Valentini, Francesca Ruffino
BIOCOMP
2009
13 years 8 months ago
GEFERENCE: Reference Database for Construing Personal Genome Expression
- With the lowering cost and the increasing discoveries, genomics research filed has materialized personal genome era. Especially, microarray gene expression platform has already m...
Changwon Keum, Ju Han Kim, Young Soo Song, Kyoung ...
APBC
2004
107views Bioinformatics» more  APBC 2004»
13 years 9 months ago
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparing samples (e.g., tissue types or experimental conditions). Application of a sta...
Somnath Datta, Susmita Datta