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» Analysis of variance components in gene expression data
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BMCBI
2007
198views more  BMCBI 2007»
14 years 9 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
TCBB
2011
14 years 4 months ago
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays
— Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we...
Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kas...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
BMCBI
2007
157views more  BMCBI 2007»
14 years 10 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
LPNMR
2005
Springer
15 years 3 months ago
Inference of Gene Relations from Microarray Data by Abduction
We describe an application of Abductive Logic Programming (ALP) to the analysis of an important class of DNA microarray experiments. We develop an ALP theory that provides a simple...
Irene Papatheodorou, Antonis C. Kakas, Marek J. Se...