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BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
15 years 6 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
BMCBI
2010
124views more  BMCBI 2010»
15 years 6 months 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...
BMCBI
2008
138views more  BMCBI 2008»
15 years 6 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
BMCBI
2008
187views more  BMCBI 2008»
15 years 6 months ago
PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes
Background: The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved...
Christine Fong, Laurence Rohmer, Matthew Radey, Mi...
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BMCBI
2008
92views more  BMCBI 2008»
15 years 6 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...