Sentence examples for microarray datasets in from inspiring English sources

This approach was tested the approach on a number of microarray datasets in order to demonstrate that it performs well and is both useful and reliable.

The microarray datasets in Figure 5 have been deposited in the GEO database (http://www.ncbi.nlm.nih.gov/projects/geo/) under accession number GSE12677.

Our method scaled-up to dimensionalities of much higher orders of magnitude as shown with gene expression microarray datasets in which we obtained classification accuracies close to 90% with fewer than 1% of the total number of variables.

Our study demonstrates the power of integrated analysis of multiple and diverse microarray datasets, in order to generate and validate clinically useful models and concepts, in a cost effective manner.

We investigated five different expression microarray datasets in order to determine if the genotype had effect on expression of any gene transcript in aorta, mammary artery, carotid plaque and lymphoblastoid cells.

We studied cDNA and oligonucleotide microarray datasets in GEO that used StrataGene's Universal Reference RNA™.

The usual approach is to analyse a single microarray dataset in isolation.

The microarray dataset in this study comprised CGH comparison of 167 strains in total from three different sources.

Surprisingly, we found that RUNX3 expression level in head and neck squamous cell carcinoma (HNSCC) tissues, which is one of the most common types of human cancer, was higher than that in normal tissues by a previously published microarray dataset in our preliminary study.

SVM-RFE was originally proposed by Guyon et al. [ 19] and applied to a microarray dataset in a cancer study.

Fibroblast strains; microarray dataset in whichh they have been analysed (1 – 3); ARD or GS, patient strain-ID; F, normal male foreskin fibroblasts; S, normal male scrotal fibroblasts.