Sciweavers

782 search results - page 43 / 157
» Combined Gene Selection Methods for Microarray Data Analysis
Sort
View
105
Voted
CCE
2005
15 years 2 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
115
Voted
BMCBI
2005
112views more  BMCBI 2005»
15 years 2 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann
143
Voted
BMCBI
2005
163views more  BMCBI 2005»
15 years 2 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
137
Voted
BMCBI
2002
119views more  BMCBI 2002»
15 years 2 months ago
Microarray results: how accurate are they?
Background: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips,...
Ravi Kothapalli, Sean J. Yoder, Shrikant Mane, Tho...
122
Voted
RECOMB
2008
Springer
16 years 2 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir