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» Algorithms for Finding Gene Clusters
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130
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BMCBI
2008
144views more  BMCBI 2008»
15 years 3 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
137
Voted
CEC
2009
IEEE
15 years 10 months ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham
152
Voted
BMCBI
2006
127views more  BMCBI 2006»
15 years 3 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
ICML
2008
IEEE
16 years 4 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
IPPS
2002
IEEE
15 years 8 months ago
Parallel EST Clustering
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...
Anantharaman Kalyanaraman, Srinivas Aluru, Suresh ...