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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2007
135views more  BMCBI 2007»
15 years 3 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
CEC
2011
IEEE
14 years 2 months ago
Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization
Abstract—Higher organisms are able to respond to continuously changing external conditions by transducing cellular signals into specific regulatory programs, which control gene ...
Adrian Schröder, Clemens Wrzodek, Johannes Wo...
BMCBI
2007
128views more  BMCBI 2007»
15 years 2 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
AIME
2005
Springer
15 years 4 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
ISMB
2000
15 years 4 months ago
Pattern Recognition of Genomic Features with Microarrays: Site Typing of Mycobacterium Tuberculosis Strains
Mycobacterium tuberculosis (M. tb.) strains differ in the number and locations of a transposon-like insertion sequence known as IS6110. Accurate detection of this sequence can be ...
Soumya Raychaudhuri, Joshua M. Stuart, Xuemin Liu,...