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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2006
199views more  BMCBI 2006»
15 years 6 months ago
PageMan: An interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments
Background: Microarray technology has become a widely accepted and standardized tool in biology. The first microarray data analysis programs were developed to support pair-wise co...
Björn Usadel, Axel Nagel, Dirk Steinhauser, Y...
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 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...
BMCBI
2010
115views more  BMCBI 2010»
15 years 6 months ago
Assessment and optimisation of normalisation methods for dual-colour antibody microarrays
Background: Recent advances in antibody microarray technology have made it possible to measure the expression of hundreds of proteins simultaneously in a competitive dual-colour a...
Martin Sill, Christoph Schroder, Jörg D. Hohe...
BMCBI
2008
128views more  BMCBI 2008»
15 years 6 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
15 years 6 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya