Results of the INS gene data analysis indicate that examination of the properties of parameter estimates is also needed.
These conclusions are based on Cytb and RAG2 gene data; analysis with additional markers would greatly enhance our understanding of this species.
In gene expression data analysis, genes exhibiting similar expression patterns may be co-regulated to perform a common function in vivo.
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.
SVM has been widely used in solving biological problems, including gene function prediction, gene expression data analysis, and even cancer diagnosis [ 12, 17, 18].
One crucial task of qPCR assay design is to select stably expressed internal reference genes for data analysis.
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.
