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» Gene Expression Clustering with Functional Mixture Models
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BMCBI
2006
137views more  BMCBI 2006»
13 years 9 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
CIARP
2009
Springer
14 years 3 months ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
BMCBI
2010
193views more  BMCBI 2010»
13 years 4 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
ECAL
2005
Springer
14 years 2 months ago
CelloS: A Multi-level Approach to Evolutionary Dynamics
We study the evolution of simple cells that are equipped with a genome, a rudimentary gene regulation network at transcription level and two classes of functional genes: motion e...
Camille Stephan-Otto Attolini, Peter F. Stadler, C...
BMCBI
2010
124views more  BMCBI 2010»
13 years 9 months ago
Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: Transcriptional dynamics and regu
Background: Comprehensively understanding corticosteroid pharmacogenomic effects is an essential step towards an insight into the underlying molecular mechanisms for both benefici...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...