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BMCBI
2010
214views more  BMCBI 2010»
13 years 6 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
BIOINFORMATICS
2008
203views more  BIOINFORMATICS 2008»
13 years 6 months ago
The SGN comparative map viewer
Background: A common approach to understanding the genetic basis of complex traits is through identification of associated quantitative trait loci (QTL). Fine mapping QTLs require...
Lukas A. Mueller, Adri A. Mills, Beth Skwarecki, R...
BMCBI
2007
194views more  BMCBI 2007»
13 years 6 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2007
179views more  BMCBI 2007»
13 years 6 months ago
Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data
Background: The wide use of Affymetrix microarray in broadened fields of biological research has made the probeset annotation an important issue. Standard Affymetrix probeset anno...
Hui Yu, Feng Wang, Kang Tu, Lu Xie, Yuan-Yuan Li, ...
BMCBI
2010
243views more  BMCBI 2010»
13 years 6 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...