Sentence examples for microarray datasets has from inspiring English sources

Integrated analysis of multiple independent microarray datasets has drawn noteworthy interests recently [ 20- 22].

However, the meta-analysis for pathway analysis based on multiple microarray datasets has not been systematically pursued.

The advent of gene expression profiling, together with the more recent introduction of functional classification of microarray datasets, has enabled researchers to gain greater insight into the underlying processes that drive neoplastic growth and influence therapeutic responsiveness and outcome.

Meta-analysis of microarray datasets has the potential to lead to more comprehensive measures of the existing differential gene expression data and can therefore provide gene sets with a high diagnostic value.

Our application of quantile regression in analyzing ageing microarray datasets has three advantages over the standard linear regression method in analyzing microarray time-series data — robustness against noise, ease of visualizing DV patterns, and the ability to model various parts of a data distribution — which are all clearly exemplified in our analysis of the simulated and real datasets.

The completed microarray datasets have been submitted to the GEO Databases (the accession number is GSE6977).

The microarray datasets have been deposited to Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo, accession number GSE17609).

Here we examine the ability of this gene signature (3D-signature) to predict prognosis in three independent breast cancer microarray datasets having 295, 286, and 118 samples, respectively.

All EST and UniSeq sequences along with annotation results and coordinated cDNA microarray datasets have been made publicly accessible at the Porcelain Crab Array Database (PCAD), a feature-enriched version of the Stanford and Longhorn Array Databases.

All microarray datasets have been uploaded to the GEO database.

All microarray datasets have been deposited at NCBI's Gene Expression Omnibus (GEO accession numbers GSE32915 and GSE32645).