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DIS
2004
Springer
14 years 2 months ago
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
Abstract. One of the most exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, i...
Ruggero G. Pensa, Jérémy Besson, Jea...
CDC
2008
IEEE
14 years 3 months ago
Noise suppression in auto-regulatory gene networks
— Living cells are characterized by small populations of key molecular components that have large stochastic noise associated with them. Various gene network motifs exists within...
Abhyudai Singh, João Pedro Hespanha
BMCBI
2006
100views more  BMCBI 2006»
13 years 9 months ago
Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas
Background: Expression microarrays represent a powerful technique for the simultaneous investigation of thousands of genes. The evidence that genes are not randomly distributed in...
Federico E. Turkheimer, Federico Roncaroli, Benoit...
BMCBI
2007
140views more  BMCBI 2007»
13 years 9 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...
BMCBI
2004
206views more  BMCBI 2004»
13 years 8 months ago
Combining gene expression data from different generations of oligonucleotide arrays
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
Kyu Baek Hwang, Sek Won Kong, Steven A. Greenberg,...