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» Clustering cancer gene expression data: a comparative study
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BMCBI
2005
135views more  BMCBI 2005»
14 years 11 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
BMCBI
2010
129views more  BMCBI 2010»
14 years 11 months ago
Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks
Background: Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological fu...
Lina Chen, Hong Wang, Liangcai Zhang, Wan Li, Qian...
BMCBI
2004
252views more  BMCBI 2004»
14 years 11 months ago
Applying Support Vector Machines for Gene ontology based gene function prediction
Background: The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to ann...
Arunachalam Vinayagam, Rainer König, Jutta Mo...
BMCBI
2008
121views more  BMCBI 2008»
14 years 11 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
BMCBI
2007
139views more  BMCBI 2007»
14 years 11 months ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....