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» A cluster validity framework for genome expression data
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WOB
2007
116views Bioinformatics» more  WOB 2007»
15 years 28 days ago
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...
Ivan G. Costa, Marcílio Carlos Pereira de S...
CIBCB
2008
IEEE
15 years 6 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
FPL
2010
Springer
188views Hardware» more  FPL 2010»
14 years 9 months ago
SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...
DIS
2004
Springer
15 years 5 months ago
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
Abstract. One of the most exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, i...
Ruggero G. Pensa, Jérémy Besson, Jea...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 5 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu