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» Analysis techniques for microarray time-series data
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BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 25 days ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
RPPAML/RIMS: A metadata format and an information management system for reverse phase protein arrays
Background: Reverse Phase Protein Arrays (RPPA) are convenient assay platforms to investigate the presence of biomarkers in tissue lysates. As with other high-throughput technolog...
Romesh Stanislaus, Mark Carey, Helena F. Deus, Kev...
BMCBI
2002
214views more  BMCBI 2002»
13 years 7 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
BMCBI
2004
174views more  BMCBI 2004»
13 years 7 months ago
SeeGH - A software tool for visualization of whole genome array comparative genomic hybridization data
Background: Array comparative genomic hybridization (CGH) is a technique which detects copy number differences in DNA segments. Complete sequencing of the human genome and the dev...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Calu...