Sentence examples for microarray dataset described from inspiring English sources

For a subset of confirmation analyses, we accessed a newer Affymetrix M430 microarray dataset (described at ).

The microarray dataset described in this work, including.cel-files, was deposited at the Gene Expression Omnibus under the series accession GSE17475 [ 34].

Next, the dataset was log2 transformed, and inserted into a microarray dataset described previously [ 20], performed on RNA extracted from the exact same biopsies described above.

Matching gene-expression and miRNA profiles of 215 sporadic breast cancer specimens were obtained by mining a microarray dataset described by Buffa et al. [ 23], in GEO (Accession number GSE22220), samples BCmicroRNA 1 to 110).

Minimum information about a microarray experiment (MIAME) criteria were met [ 56], and the complete microarray datasets described can be found at the National Center for Biotechnology Information Gene Expression Omnibus (accession number: GSE16098).

Microarray datasets (described above) were analyzed by GEOquery and Limma packages in R http://www.r-project.org/ as described previously [ 11- 13].

Control genes for the nCounter Analysis System were chosen for each cell type on the basis of consistent expression across samples in the large, cell-type-specific microarray datasets described above.

In anticipation of limited FFPE tumor section RNA availability, we prioritized the 14 microarray-derived genes comprising the Buck-14 signature into a minimal set of high priority genes showing the most robust prognostic value across the two pooled expression microarray datasets described in our previous report (training set (n = 199) and validation set (n = 75), respectively) [ 22].

A complete description of the microarray dataset, as described by Na et al. [18], is available at the Gene Expression Omnibus (GEO; accession number GPL1972).

Hence, to map the potential signaling pathway or upstream regulator(s) participating in FLJ10540-elicited migration and invasion characteristics, we employed our lung cancer microarray dataset, as described earlier, to gain insight into the functional concordance of co-expressed genes.

PCA mapping showed that 60% of the overall variance in the microarray dataset is described by the first two principal components.