Sentence examples for microarray datasets is from inspiring English sources
But it is possible to precompute the complete distance matrix and keep it in memory during the execution of the clustering algorithm for faster performance, because the number of samples in sample-gene microarray datasets is usually much smaller compared to the number of genes.
Our results demonstrate the utility of these novel pattern detection strategies, notably for detection of periodic profiles, and suggest that combining several distinct mathematical approaches to analyze microarray datasets is a valuable strategy for identifying genes that exhibit novel, interesting transcriptional patterns.
In addition, the expression correlation information based on 117 microarray datasets is included.
Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining.
We note that our proposed approach for analyzing multi-class microarray datasets is a novel application of quantile regression technique to analyze non-time series data.
Meta-analysis of combined transcriptomic microarray datasets is a powerful method to greatly increase the sensitivity in revealing biomarkers for disease and, potentially, with greater specificity.
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.
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.
Microarray datasets were obtained from public databases.
These microarray datasets were obtained from the Gene Expression Omnibus (GEO) database.
