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» Gene set analysis for longitudinal gene expression data
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WOB
2007
116views Bioinformatics» more  WOB 2007»
13 years 9 months ago
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...
Ivan G. Costa, Marcílio Carlos Pereira de S...
BMCBI
2004
115views more  BMCBI 2004»
13 years 7 months ago
Quantifying the relationship between co-expression, co-regulation and gene function
Background: It is thought that genes with similar patterns of mRNA expression and genes with similar functions are likely to be regulated via the same mechanisms. It has been diff...
Dominic J. Allocco, Isaac S. Kohane, Atul J. Butte
BMCBI
2006
81views more  BMCBI 2006»
13 years 7 months ago
A fisheye viewer for microarray-based gene expression data
Background: Microarray has been widely used to measure the relative amounts of every mRNA transcript from the genome in a single scan. Biologists have been accustomed to reading t...
Min Wu, Cheng Thao, Xiangming Mu, Ethan V. Munson
BMCBI
2010
167views more  BMCBI 2010»
13 years 7 months ago
Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of met
Background: Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurat...
Melissa J. Morine, Jolene McMonagle, Sinead Toomey...
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Improving missing value imputation of microarray data by using spot quality weights
Background: Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools requir...
Peter Johansson, Jari Häkkinen