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» Clustering of diverse genomic data using information fusion
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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 8 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
BMCBI
2008
187views more  BMCBI 2008»
13 years 8 months ago
PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes
Background: The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved...
Christine Fong, Laurence Rohmer, Matthew Radey, Mi...
CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
BMCBI
2005
179views more  BMCBI 2005»
13 years 8 months ago
MARS: Microarray analysis, retrieval, and storage system
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...
Michael Maurer, Robert Molidor, Alexander Sturn, J...
BMCBI
2006
128views more  BMCBI 2006»
13 years 8 months ago
Comparative assessment of performance and genome dependence among phylogenetic profiling methods
Background: The rapidly increasing speed with which genome sequence data can be generated will be accompanied by an exponential increase in the number of sequenced eukaryotes. Wit...
Evan S. Snitkin, Adam M. Gustafson, Joseph C. Mell...