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CEC
2003
IEEE
14 years 2 months ago
Stochastic neural network models for gene regulatory networks
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
Tianhai Tian, Kevin Burrage
FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
13 years 10 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton
BMCBI
2007
114views more  BMCBI 2007»
13 years 8 months ago
Gene models from ESTs (GeneModelEST): an application on the Solanum lycopersicum genome
Background: The structure annotation of a genome is based either on ab initio methodologies or on similaritiy searches versus molecules that have been already annotated. Ab initio...
Nunzio D'Agostino, Alessandra Traini, Luigi Frusci...
BMCBI
2008
82views more  BMCBI 2008»
13 years 9 months ago
Studying the functional conservation of cis-regulatory modules and their transcriptional output
Background: Cis-regulatory modules (CRMs) are distinct, genomic regions surrounding the target gene that can independently activate the promoter to drive transcription. The activa...
Denis C. Bauer, Timothy L. Bailey
BMCBI
2011
13 years 11 days ago
Cell Subset Prediction for Blood Genomic Studies
Background: Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions...
Christopher R. Bolen, Mohamed Uduman, Steven H. Kl...