Sciweavers

1158 search results - page 87 / 232
» Microarray Gene Expression Data Analysis
Sort
View
148
Voted
BMCBI
2004
154views more  BMCBI 2004»
15 years 2 months ago
Accuracy of cDNA microarray methods to detect small gene expression changes induced by neuregulin on breast epithelial cells
Background: cDNA microarrays are a powerful means to screen for biologically relevant gene expression changes, but are often limited by their ability to detect small changes accur...
Bin Yao, Sanjay N. Rakhade, Qunfang Li, Sharlin Ah...
BMCBI
2010
111views more  BMCBI 2010»
15 years 2 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...
116
Voted
BMCBI
2008
125views more  BMCBI 2008»
15 years 2 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...
134
Voted
BMCBI
2006
169views more  BMCBI 2006»
15 years 2 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....
109
Voted
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 2 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