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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2005
112views more  BMCBI 2005»
15 years 2 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
CIBCB
2008
IEEE
15 years 9 months ago
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data
sequence content at an abstract level and offers novel ways to examine the information contained in them. Our approach is an information theoretic search process which uses patter...
Willard Davis, Ananth Kalyanaraman, Diane J. Cook
116
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BIOINFORMATICS
2010
109views more  BIOINFORMATICS 2010»
15 years 3 months ago
Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
Phylogenetic trees are widely used to display estimates of how groups of species evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species ...
Leo van Iersel, Steven Kelk, Regula Rupp, Daniel H...
BMCBI
2006
150views more  BMCBI 2006»
15 years 2 months ago
Cluster analysis of protein array results via similarity of Gene Ontology annotation
Background: With the advent of high-throughput proteomic experiments such as arrays of purified proteins comes the need to analyse sets of proteins as an ensemble, as opposed to t...
Cheryl Wolting, C. Jane McGlade, David Tritchler
ICASSP
2008
IEEE
15 years 9 months ago
A method for locating multiple sources from a frame of a large-aperture microphone array data without tracking
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
Hoang Do, Harvey F. Silverman