Sentence examples for Microarray data extracted from from inspiring English sources

Tables 3 and 4 show proportional and cumulative variance expressed by the first 10 PCs, for microarray data extracted from chip U133A and U133B, respectively.

Moreover, we performed GEO computational analysis in microarray data extracted from other publicly available datasets, and compared them with our results.

Additional file 9: Description of the 49 genes that exhibited a higher level of expression in somatic embryos (AT-00508) than in callus (AT-00265), torpedo stage zygotic embryos (AT-00629) or leaf tissues (AT-00265), based on microarray data extracted from the Genevestigator tool.

(3) Beside this, the built-in graphical network visualization tool GraphVis now features the projection of microarray data extracted from EMMA by altering the size of the concerned nodes according to the expression levels of the represented genes (see the application example in additional file 1).

79 features/attributes were created from mRNA expression microarray profiling data extracted from the Gene Expression Omnibus (GEO) database [ 12] references to the files are provided in the methods and Additional files 1, 2 and 3.

Microarrays are a useful technology for observing differences in gene expression and data extracted from microarrays can be reliably reproduced.

Gene expression data extracted from microarray experiments have been used to study the difference between mRNA abundance of genes under different conditions.

Gene expression data extracted from microarray experiments could generate high-dimensional feature space for discriminating between different classes when thousands of genes are measured simultaneously.

Data extracted from microarray studies showed an increased expression of PIK3CA in gastric cancers when compared with the non-neoplastic gastric mucosae (p < 0.001).

For further data analysis, the data extracted from the Affymetrix Microarray Suite Microarray were processed by using standard quantile normalization [ 17], which has become one of the most commonly used normalization techniques for microarray data and finds also application in pre-processing packages as e.g., the "Robust Multichip Average"(RMA) approach [ 18].

Microarray data were extracted from scanned GeneChip images and analyzed using Microarray Suite version 5.0.1 (Affymetrix).