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» Clustering gene expression patterns
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BMCBI
2006
203views more  BMCBI 2006»
14 years 10 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
BMCBI
2007
164views more  BMCBI 2007»
14 years 10 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
BMCBI
2008
91views more  BMCBI 2008»
14 years 10 months ago
t2prhd: a tool to study the patterns of repeat evolution
Background: The models developed to characterize the evolution of multigene families (such as the birth-and-death and the concerted models) have also been applied on the level of ...
Botond Sipos, Kálmán Somogyi, Istv&a...
RECOMB
2004
Springer
15 years 10 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
NAR
2007
97views more  NAR 2007»
14 years 9 months ago
Gene Aging Nexus: a web database and data mining platform for microarray data on aging
The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging...
Fei Pan, Chi-Hsien Chiu, Sudip Pulapura, Michael R...