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Biclustering algorithms for biological data analysis: a survey
A large number of clustering approaches have been proposed for the analysis of gene
expression data obtained from microarray experiments. However, the results from the …
expression data obtained from microarray experiments. However, the results from the …
Clustering algorithms: their application to gene expression data
Gene expression data hide vital information required to understand the biological process
that takes place in a particular organism in relation to its environment. Deciphering the …
that takes place in a particular organism in relation to its environment. Deciphering the …
[ספר][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
Cluster analysis for gene expression data: a survey
DNA microarray technology has now made it possible to simultaneously monitor the
expression levels of thousands of genes during important biological processes and across …
expression levels of thousands of genes during important biological processes and across …
FABIA: factor analysis for bicluster acquisition
Motivation: Biclustering of transcriptomic data groups genes and samples simultaneously. It
is emerging as a standard tool for extracting knowledge from gene expression …
is emerging as a standard tool for extracting knowledge from gene expression …
[ספר][B] Statistical analysis of gene expression microarray data
T Speed - 2003 - taylorfrancis.com
Although less than a decade old, the field of microarray data analysis is now thriving and
growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as …
growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as …
Tricluster: an effective algorithm for mining coherent clusters in 3d microarray data
In this paper we introduce a novel algorithm called TRICLUSTER, for mining coherent
clusters in three-dimensional (3D) gene expression datasets. TRICLUSTER can mine …
clusters in three-dimensional (3D) gene expression datasets. TRICLUSTER can mine …
[ספר][B] Multiobjective genetic algorithms for clustering: applications in data mining and bioinformatics
U Maulik, S Bandyopadhyay, A Mukhopadhyay - 2011 - books.google.com
This is the first book primarily dedicated to clustering using multiobjective genetic algorithms
with extensive real-life applications in data mining and bioinformatics. The authors first offer …
with extensive real-life applications in data mining and bioinformatics. The authors first offer …
[ספר][B] Handbook of computational molecular biology
S Aluru - 2005 - taylorfrancis.com
The enormous complexity of biological systems at the molecular level must be answered
with powerful computational methods. Computational biology is a young field, but has seen …
with powerful computational methods. Computational biology is a young field, but has seen …
Improved biclustering of microarray data demonstrated through systematic performance tests
A new algorithm is presented for fitting the plaid model, a biclustering method developed for
clustering gene expression data. The approach is based on speedy individual differences …
clustering gene expression data. The approach is based on speedy individual differences …