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» Gene Expression Clustering with Functional Mixture Models
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BMCBI
2006
120views more  BMCBI 2006»
13 years 10 months ago
An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
Ryung S. Kim, Hongkai Ji, Wing Hung Wong
BMCBI
2006
64views more  BMCBI 2006»
13 years 10 months ago
In silico modelling of hormone response elements
Background: An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types...
Maria Stepanova, Feng Lin, Valerie C.-L. Lin
BMCBI
2007
164views more  BMCBI 2007»
13 years 10 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
BMCBI
2006
158views more  BMCBI 2006»
13 years 10 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
BMCBI
2004
91views more  BMCBI 2004»
13 years 10 months ago
SIGI: score-based identification of genomic islands
Background: Genomic islands can be observed in many microbial genomes. These stretches of DNA have a conspicuous composition with regard to sequence or encoded functions. Genomic ...
Rainer Merkl