Sciweavers

4 search results - page 1 / 1
» A comparison of probe-level and probeset models for small-sa...
Sort
View
BMCBI
2008
98views more  BMCBI 2008»
13 years 4 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
BMCBI
2010
79views more  BMCBI 2010»
12 years 11 months ago
A comparison of probe-level and probeset models for small-sample gene expression data
John R. Stevens, Jason L. Bell, Kenneth I. Aston, ...
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 2 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
BMCBI
2005
212views more  BMCBI 2005»
13 years 4 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky