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BMCBI
2011
13 years 3 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
BMCBI
2010
172views more  BMCBI 2010»
13 years 8 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
BMCBI
2007
148views more  BMCBI 2007»
13 years 8 months ago
fREDUCE: Detection of degenerate regulatory elements using correlation with expression
Background: The precision of transcriptional regulation is made possible by the specificity of physical interactions between transcription factors and their cognate binding sites ...
Randy Z. Wu, Christina Chaivorapol, Jiashun Zheng,...
BMCBI
2006
103views more  BMCBI 2006»
13 years 8 months ago
Correction of scaling mismatches in oligonucleotide microarray data
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...
Martino Barenco, Jaroslav Stark, Daniel Brewer, Da...
BMCBI
2010
216views more  BMCBI 2010»
13 years 3 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...