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» A factor model to analyze heterogeneity in gene expression
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BMCBI
2004
165views more  BMCBI 2004»
14 years 9 months ago
Analysis of oligonucleotide array experiments with repeated measures using mixed models
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...
NAR
2011
195views Computer Vision» more  NAR 2011»
14 years 13 days ago
MitoGenesisDB: an expression data mining tool to explore spatio-temporal dynamics of mitochondrial biogenesis
Mitochondria constitute complex and flexible cellular entities, which play crucial roles in normal and pathological cell conditions. The database MitoGenesisDB focuses on the dyna...
Jean-Christophe Gelly, Mickael Orgeur, Claude Jacq...
IJKDB
2010
170views more  IJKDB 2010»
14 years 6 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
BMCBI
2011
14 years 1 months ago
Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities
Background: Gene regulatory networks play essential roles in living organisms to control growth, keep internal metabolism running and respond to external environmental changes. Un...
Yao Fu, Laura R. Jarboe, Julie A. Dickerson
BMCBI
2008
160views more  BMCBI 2008»
14 years 9 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi