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» Extracting active pathways from gene expression data
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RECOMB
2004
Springer
14 years 9 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
14 years 9 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
BMCBI
2010
108views more  BMCBI 2010»
13 years 9 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
BMCBI
2008
142views more  BMCBI 2008»
13 years 9 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
NAR
2011
234views Computer Vision» more  NAR 2011»
12 years 11 months ago
The UCSC cancer genomics browser: update 2011
The UCSC Cancer Genomics Browser (https:// genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The ...
J. Zachary Sanborn, Stephen C. Benz, Brian Craft, ...