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.
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.
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.
Microarray datasets were obtained from NASCarrays (http://affymetrix.arabidopsis.info/narrays/experimentbrowse.pl), and were downloaded and plotted in excel.
Affymetrix microarray datasets were generated from the liver and kidney of all individual control and treated animals.
The microarray datasets were deposited in the GEO data repository (http://www.ncbi.nlm.nih.gov/projects/geo/index.cgi) (accession numbers GSE4771 and GSE4777).
Meta-analyses of independent microarray datasets were performed in order to study the gene expression pattern of prophage-like elements in CVC strain in different heat shock conditions.
Microarray expression data for sulfur amino acid pathway-affected cells (see Microarray Datasets) were then averaged for the top 30 genes in our ranking.
The microarray datasets were analyzed using Ingenuity pathway analysis software (IPA, Ingenuity ® Systems, www.ingenuity.com, Mountain View, CA, USA) described in Text S1.
