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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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PRL
2006
130views more  PRL 2006»
13 years 7 months ago
Efficient huge-scale feature selection with speciated genetic algorithm
With increasing interest in bioinformatics, sophisticated tools are required to efficiently analyze gene information. The classification of gene expression profiles is crucial in ...
Jin-Hyuk Hong, Sung-Bae Cho
DIS
2006
Springer
13 years 11 months ago
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
Ata Kabán, Jianyong Sun, Somak Raychaudhury...
DKE
2007
129views more  DKE 2007»
13 years 7 months ago
First-order temporal pattern mining with regular expression constraints
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
Sandra de Amo, Daniel A. Furtado
BMCBI
2010
153views more  BMCBI 2010»
13 years 8 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
WABI
2010
Springer
177views Bioinformatics» more  WABI 2010»
13 years 6 months ago
Estimation of Alternative Splicing isoform Frequencies from RNA-Seq Data
In this paper we present a novel expectation-maximization algorithm for inference of alternative splicing isoform frequencies from high-throughput transcriptome sequencing (RNA-Seq...
Marius Nicolae, Serghei Mangul, Ion I. Mandoiu, Al...