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BMCBI
2008
115views more  BMCBI 2008»
13 years 7 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
BMCBI
2010
65views more  BMCBI 2010»
13 years 7 months ago
VIPR: A probabilistic algorithm for analysis of microbial detection microarrays
Background: All infectious disease oriented clinical diagnostic assays in use today focus on detecting the presence of a single, well defined target agent or a set of agents. In r...
Adam F. Allred, Guang Wu, Tuya Wulan, Kael F. Fisc...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 21 days ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
BMCBI
2008
99views more  BMCBI 2008»
13 years 7 months ago
Ranking analysis of F-statistics for microarray data
Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
Yuan-De Tan, Myriam Fornage, Hongyan Xu
JBI
2008
159views Bioinformatics» more  JBI 2008»
13 years 7 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar