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BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
Orthogonal projections to latent structures as a strategy for microarray data normalization
Background: During generation of microarray data, various forms of systematic biases are frequently introduced which limits accuracy and precision of the results. In order to prop...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...
GD
2009
Springer
14 years 7 days ago
Semi-bipartite Graph Visualization for Gene Ontology Networks
Abstract. In this paper we propose three layout algorithms for semibipartite graphs—bipartite graphs with edges in one partition—that emerge from microarray experiment analysis...
Kai Xu 0003, Rohan Williams, Seok-Hee Hong, Qing L...
BMCBI
2006
154views more  BMCBI 2006»
13 years 7 months ago
Analysis with respect to instrumental variables for the exploration of microarray data structures
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
Florent Baty, Michaël Facompré, Jan Wi...
BMCBI
2010
164views more  BMCBI 2010»
13 years 5 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...