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BMCBI
2010
135views more  BMCBI 2010»
14 years 9 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
BMCBI
2004
126views more  BMCBI 2004»
14 years 9 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...
BMCBI
2010
113views more  BMCBI 2010»
14 years 9 months ago
ProbABEL package for genome-wide association analysis of imputed data
Background: Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, impute...
Yurii S. Aulchenko, Maksim V. Struchalin, Cornelia...
BMCBI
2010
96views more  BMCBI 2010»
14 years 9 months ago
A statistical framework for differential network analysis from microarray data
Background: It has been long well known that genes do not act alone; rather groups of genes act in consort during a biological process. Consequently, the expression levels of gene...
Ryan Gill, Somnath Datta, Susmita Datta
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
15 years 10 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian