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» Analysis of variance components in gene expression data
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BMCBI
2006
86views more  BMCBI 2006»
14 years 9 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao
BMCBI
2005
145views more  BMCBI 2005»
14 years 9 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
BMCBI
2006
95views more  BMCBI 2006»
14 years 9 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
PAKDD
2005
ACM
164views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
Hirotaka Niitsuma, Takashi Okada
NAR
2010
189views more  NAR 2010»
14 years 4 months ago
Serial Expression Analysis: a web tool for the analysis of serial gene expression data
Serial transcriptomics experiments investigate the dynamics of gene expression changes associated with a quantitative variable such as time or dosage. The statistical analysis of ...
María José Nueda, José Carbon...