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» A New Measure of the Cluster Hypothesis
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BMCBI
2004
208views more  BMCBI 2004»
15 years 1 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
BMCBI
2007
124views more  BMCBI 2007»
15 years 1 months ago
CRISPR Recognition Tool (CRT): a tool for automatic detection of clustered regularly interspaced palindromic repeats
Background: Clustered Regularly Interspaced Palindromic Repeats (CRISPRs) are a novel type of direct repeat found in a wide range of bacteria and archaea. CRISPRs are beginning to...
Charles Bland, Teresa L. Ramsey, Fareedah Sabree, ...
BMCBI
2006
150views more  BMCBI 2006»
15 years 1 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
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 7 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
CVPR
2010
IEEE
15 years 4 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...