Callahan, B. J., McMurdie, P. J. & Holmes, S. P. Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.
SKP conducted validation and genotyping of SNPs in stress-responsive rice genes, data analysis and drafted the manuscript.
In gene expression data analysis, genes exhibiting similar expression patterns may be co-regulated to perform a common function in vivo.
SVM has been widely used in solving biological problems, including gene function prediction, gene expression data analysis, and even cancer diagnosis [ 12, 17, 18].
By employing a strict cut off value during gene expression data analysis, 106 genes were found to be involved in the cell response to FA, independent of aerobic or anaerobic conditions.
The approach belongs to the general class of Random Set methods [ 6, 15] designed to assess enrichment of gene sets in microarray gene expression data analysis.
In the work we present here, microarray gene expression data analysis identifies transcriptionally altered key genes involved in signalling/metabolic pathways of T2D.
A common approach for time series gene expression data analysis includes the clustering of genes with similar expression patterns throughout time.
PubMed [ 14] was used to identify papers presenting results on gene expression data analysis between 2003 and 2005 using "gene expression data" as the query expression.
