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Three microarray datasets are used to test the ensemble systems, and the corresponding results demonstrate that these ensemble schemes can further improve the performance of the ICA based classification model, and the third fusion scheme leads to the most accurate ensemble system with the smallest ensemble size.
Microarray datasets are available at www.ncbi.nlm.nih.gov/geo; accession number GSE7207.
The complete microarray datasets are available at the GEO database with the accession number GSE13053.
Details of the two microarray datasets are summarized in Supplementary Table S1.
When microarray datasets are organized as samples versus gene fashion, then they are very helpful for classification of different types of tissues and identification of those genes whose expression levels are good diagnostic indicators.
Microarray datasets are available from the Gene Expression Omnibus GSE70261.
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Experiments on high-dimensional microarray datasets were performed, and the best performance was obtained with our approaches compared with well-known feature selection methods for Support Vector Machines.
Both in utero (using embryonic heart tissues) and in vitro (using iPSCs and differentiated cells) microarray datasets were deposited to the NCBI Gene Expression Omnibus (GEO) database.
The Illumina microarray datasets were accessible from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) data repository (http://www.ncbi.nlm.nih.gov/geo/) using the series accession number GSE68655.
Microarray datasets were obtained from public databases.
These microarray datasets were obtained from the Gene Expression Omnibus (GEO) database.
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