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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2010
172views more  BMCBI 2010»
13 years 3 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
CIBCB
2005
IEEE
14 years 2 months ago
Artificial Neural Network Analysis of DNA Microarray-based Prostate Cancer Recurrence
— DNA microarray-based gene expression profiles have been established for a variety of adult cancers. This paper addresses application of an artificial neural network (ANN) wit...
Leif E. Peterson, Mustafa Ozen, Halime Erdem, Andr...
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 9 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
NAR
2011
267views Computer Vision» more  NAR 2011»
13 years 3 months ago
EcoCyc: a comprehensive database of Escherichia coli biology
EcoCyc (http://EcoCyc.org) is a comprehensive model organism database for Escherichia coli K-12 MG1655. From the scientific literature, EcoCyc captures the functions of individual...
Ingrid M. Keseler, Julio Collado-Vides, Alberto Sa...
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
14 years 2 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...