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» Two-phase clustering strategy for gene expression data sets
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BMCBI
2008
144views more  BMCBI 2008»
14 years 9 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
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BMCBI
2006
144views more  BMCBI 2006»
14 years 9 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
BMCBI
2010
171views more  BMCBI 2010»
14 years 9 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
CSB
2003
IEEE
128views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Degenerate Primer Design via Clustering
This paper describes a new strategy for designing degenerate primers for a given multiple alignment of amino acid sequences. Degenerate primers are useful for amplifying homologou...
Xintao Wei, David N. Kuhn, Giri Narasimhan
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 2 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali