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BMCBI
2005
98views more  BMCBI 2005»
15 years 6 months ago
The effects of normalization on the correlation structure of microarray data
Background: Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-...
Xing Qiu, Andrew I. Brooks, Lev Klebanov, Andrei Y...
BMCBI
2004
161views more  BMCBI 2004»
15 years 6 months ago
Three-parameter lognormal distribution ubiquitously found in cDNA microarray data and its application to parametric data treatme
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
Tomokazu Konishi
BMCBI
2004
111views more  BMCBI 2004»
15 years 6 months ago
Multiclass discovery in array data
Background: A routine goal in the analysis of microarray data is to identify genes with expression levels that correlate with known classes of experiments. In a growing number of ...
Yingchun Liu, Markus Ringnér
BMCBI
2011
15 years 1 months ago
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
Background: Visualization of orthogonal (disjoint) or overlapping datasets is a common task in bioinformatics. Few tools exist to automate the generation of extensively-customizab...
Hanbo Chen, Paul C. Boutros
JGO
2011
122views more  JGO 2011»
15 years 1 months ago
Towards the global solution of the maximal correlation problem
The maximal correlation problem (MCP) aiming at optimizing correlation between sets of variables plays a very important role in many areas of statistical applications. Currently, a...
Lei-Hong Zhang, Li-Zhi Liao, Li-Ming Sun