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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2010
111views more  BMCBI 2010»
15 years 5 months ago
Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...
BMCBI
2008
125views more  BMCBI 2008»
15 years 5 months ago
MAID : An effect size based model for microarray data integration across laboratories and platforms
Background: Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarr...
Ivan Borozan, Limin Chen, Bryan Paeper, Jenny E. H...
168
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BMCBI
2006
169views more  BMCBI 2006»
15 years 5 months ago
Beyond microarrays: Finding key transcription factors controlling signal transduction pathways
Background: Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cell...
Alexander E. Kel, Nico Voss, Ruy Jauregui, Olga V....
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 5 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
110
Voted
BMCBI
2006
85views more  BMCBI 2006»
15 years 5 months ago
On the statistical assessment of classifiers using DNA microarray data
Background: In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new d...
Nicola Ancona, Rosalia Maglietta, Ada Piepoli, Ann...