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» Exploration of Simulation Experiments by Discovery
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BMCBI
2007
154views more  BMCBI 2007»
13 years 5 months ago
h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
Yvonne E. Pittelkow, Susan R. Wilson
BMCBI
2010
132views more  BMCBI 2010»
13 years 5 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
BMCBI
2006
154views more  BMCBI 2006»
13 years 5 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
SIGOPSE
2004
ACM
13 years 10 months ago
Energy-efficient cluster-based service discovery for Ubiquitous Computing
: Service discovery in Ubiquitous Computing is a task which has to be done frequently due to dynamically changing environments. The limited battery power of mobile devices requires...
Gregor Schiele, Christian Becker, Kurt Rothermel
BMCBI
2010
164views more  BMCBI 2010»
13 years 2 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...