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103
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BMCBI
2008
111views more  BMCBI 2008»
15 years 28 days ago
Comparative optimism in models involving both classical clinical and gene expression information
Background: In cancer research, most clinical variables have already been investigated and are now well established. The use of transcriptomic variables has raised two problems: r...
Caroline Truntzer, Delphine Maucort-Boulch, Pascal...
BMCBI
2008
137views more  BMCBI 2008»
15 years 28 days ago
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays
Background: Microarray experiments generate vast amounts of data. The functional context of differentially expressed genes can be assessed by querying the Gene Ontology (GO) datab...
Hans A. Kestler, André Müller, Johann ...
88
Voted
BMCBI
2007
86views more  BMCBI 2007»
15 years 28 days ago
Toxicogenomic analysis incorporating operon-transcriptional coupling and toxicant concentration-expression response: analysis of
Background: Deficiencies in microarray technology cause unwanted variation in the hybridization signal, obscuring the true measurements of intracellular transcript levels. Here we...
William O. Ward, Carol D. Swartz, Steffen Porwolli...
103
Voted
BMCBI
2010
136views more  BMCBI 2010»
15 years 28 days ago
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfa
Background: Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides i...
Hanka Venselaar, Tim A. H. te Beek, Remko K. P. Ku...
BMCBI
2010
124views more  BMCBI 2010»
15 years 28 days ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
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