Sentence examples for microarray dataset corresponding from inspiring English sources

To assess the performance of our statistical tests, a human Affymetrix microarray dataset corresponding to 47 subjects with acute lymphoblastic leukaemia (ALL) and 25 subjects with acute myeloid leukaemia (AML), as previously described by Golub and colleagues [5], was downloaded from: http://wwwmaths.anu.edu.au/johnm/r/hddplot/.anu.edu.au/johnm/r/hddplot/

From these data, we selected 12 microarray datasets corresponding to rice plants treated with chilling (10°C, 3 time points), 25% polyethylene glycol (PEG) 600 (simulated drought stress, 3 time points), 260 mM mannitol (stimulated osmotic stress, one time point), 150 mM NaCl (one time point), submergence (3 time points), and 0.2 ppm ozone (one time point).

Gene expression was determined using HG-U133A HumAffymetrixp microanday (Affymethex) and the corresponding microarray dataset was available at the ArrayExpress web site under accession number E-GEOD-16873.

Let us model a gene network containing n genes (denoted by X 1, X 2 …, X n ) with a corresponding microarray dataset having N time points.

Gene expression was determined using the U133-X3P Human GeneChip oligo-based microarray (Affymetrix, Santa Clara, CA, USA), and the corresponding microarray dataset was publicly available at the ArrayExpress website (http://ebi.ac.uk/arrayexpress/) under accession number E-GEOD-11395.

Gene expression was determined using U133-X3P Human GeneChip oligo-based microarray (Affymetrix, Santa Clara, CA, USA) and the corresponding microarray dataset was publicly available at the ArrayExpress web site (http://ebi.ac.uk/arrayexpress/) under accession number E-GEOD-7377 E-GEOD-7377 E-GEOD-7377

The stroke microarray dataset GSE58294 [ 11] and its corresponding platform, GPL570, were obtained from the NCBI GEO [ 12].

We further extracted the expression profiles of both mRNAs and the corresponding miRNAs from the microarray dataset GSE35982 for regression analysis.

Because 19 CCCH genes do not have the corresponding probe sets in the microarray dataset, we only analysed the expression profiles of the remaining 72 CCCH genes.

The known tissue-specific genes are expressed predominantly in particular tissues, so the transcripts of the genes were expected to be detected in corresponding tissue samples in the integrated microarray dataset.

A substantial agreement was observed between the K-M survival plots for our patients with the corresponding K-M survival plots for the microarray dataset.