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» Analysis of Variance for Gene Expression Microarray Data
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BIODATAMINING
2008
130views more  BIODATAMINING 2008»
15 years 6 months ago
Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profil
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski...
BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
Gene set enrichment analysis for non-monotone association and multiple experimental categories
Background: Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression...
Rongheng Lin, Shuangshuang Dai, Richard D. Irwin, ...
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BMCBI
2008
97views more  BMCBI 2008»
15 years 6 months ago
A Population Proportion approach for ranking differentially expressed genes
Background: DNA microarrays are used to investigate differences in gene expression between two or more classes of samples. Most currently used approaches compare mean expression l...
Mugdha Gadgil
BMCBI
2004
132views more  BMCBI 2004»
15 years 6 months ago
Two-stage normalization using background intensities in cDNA microarray data
Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
BMCBI
2008
161views more  BMCBI 2008»
15 years 6 months ago
Inferring gene expression dynamics via functional regression analysis
Background: Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments....
Hans-Georg Müller, Jeng-Min Chiou, Xiaoyan Le...