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» Gene Expression Clustering with Functional Mixture Models
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AUSAI
2005
Springer
14 years 1 months ago
Finding Similar Patterns in Microarray Data
Abstract. In this paper we propose a clustering algorithm called sCluster for analysis of gene expression data based on pattern-similarity. The algorithm captures the tight cluster...
Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi...
BMCBI
2006
136views more  BMCBI 2006»
13 years 7 months ago
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
Raja Loganantharaj, Satish Cheepala, John Clifford
SAC
2002
ACM
13 years 7 months ago
Short inversions and conserved gene clusters
Two independent sets of recent observations on newly sequenced microbial genomes pertain to the prevalence of short inversion as a gene order rearrangement process and to the lack...
David Sankoff
IJAR
2008
63views more  IJAR 2008»
13 years 7 months ago
Gene expression modeling through positive boolean functions
Francesca Ruffino, Marco Muselli, Giorgio Valentin...
BMCBI
2008
167views more  BMCBI 2008»
13 years 8 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren