Sentence examples for microarray data containing from inspiring English sources

The two-channel microarray data containing 8102 cDNA genes/clones generated by Sorlie et al. [2] were downloaded from the Stanford Microarray Database (SMD) (http://genome-www.stanford.edu/MicroArray/).edu/MicroArray/

The settings used for the searches were: gene: VAV1 or RASGRF2; dataset size: microarray data containing a minimum of 75 independent samples; microarray platform: unrestricted; gene rank: top 10%; P value≤0.001.

The microarray data containing balanced 2-fold differences in the levels of expression of 20% of the genes measured are provided as Supplemental material (Table S1) and may be used by readers for quality analysis estimation of their own analytical methods.

The settings for the searches were: gene: VAV1 or RASGRF2; cancer type: leukemia, lymphoma and myeloma; dataset size: microarray data containing a minimum of 75 independent samples; microarray platform: unrestricted; gene rank: top 10%; P value≤1×10 4; COPA value: less than –3 or more than 3 for the downregulated and upregulated outliers, respectively.

First, quantile normalisation of the microarray data (containing the 8900 lncRNAs and all mRNAs in the microarray) of all 119 paired tumour normal samples was carried out.

Among the microarray data containing probes for 42405 human genes, 366 genes were > 22.5-fold upregulated in TE-8CM-treated THP-1 cells (Table S1).

Microarray data contain more tissues and developmental stages as compared to MPSS data.

Co-expression network analysis is based on the idea that large collections of microarray data contain information about concerted changes in transcript levels.

Finally, it is worth mentioning that although public repositories of microarray data contain hundreds of normalized data sets, each data set having a hundred or so of microarray experiments concerning a single study, the different datasets cannot be combined easily.

The resulting microarray data contained 16,015 remaining genes.

Basically, microarray data contain 1-10% missing values that could affect up to 95% of genes [ 10].