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» Gene Expression Clustering with Functional Mixture Models
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BMCBI
2005
112views more  BMCBI 2005»
13 years 10 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
BMCBI
2005
189views more  BMCBI 2005»
13 years 10 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
BMCBI
2008
82views more  BMCBI 2008»
13 years 10 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
2007
203views more  BMCBI 2007»
13 years 10 months ago
A Grid-based solution for management and analysis of microarrays in distributed experiments
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...
IPMI
2007
Springer
14 years 11 months ago
Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution
Abstract. In this paper, we present a novel continuous mixture of diffusion tensors model for the diffusion-weighted MR signal attenuation. The relationship between the mixing dist...
Bing Jian, Baba C. Vemuri