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Identification of differentially expressed genes by means of outlier detection
(Biomed Central, 2018-09-10)
Background: An important issue in microarray data is to select, from thousands of genes, a small number of informative differentially expressed (DE) genes which may be key elements for a disease. If each gene is analyzed ...
Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
(MDPI, 2020-11-14)
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Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition
by Itsaso Rodríguez-Moreno
* [OrcID] , José María Martínez-Otzeta
[OrcID] , Basilio ...
ORdensity: user-friendly R package to identify differentially expressed genes
(BCM, 2020-04-07)
Background Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may ...
Towards Application of One-Class Classification Methods to Medical Data
(Hindawi Publishing, 2014)
In the problem of one-class classification (OCC) one of the classes, the target class, has to be distinguished from all other possible objects, considered as nontargets. In many biomedical problems this situation arises, ...
ICGE: an R package for detecting relevant clusters and atypical units in gene expression
(BioMed Central, 2012-02)
Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to ...
K nearest neighbor equality: giving equal chance to all existing classes
(Elsevier, 2011-07-23)
The nearest neighbor classification method assigns an unclassified point to the class of the nearest case of a set of previously classified points. This rule is independent of the underlying joint distribution of the sample ...