Sentence examples for using the microarray gene from inspiring English sources

A committee neural network system was designed to classify leukemia into ALL and AML using the microarray gene expression data.

We calculated the gene co-expression correlation for all gene-gene pairs using the microarray gene expression data of 126 normal tissues [ 40].

The proposed technique is implemented in the working platform of MATLAB 7.11 with the system configuration Intel(R) Core(TM) i5 CPU, [email protected], 3.19 GHz, 3.17 GB of RAM and it is evaluated using the microarray gene expression data of human acute leukemia.

By contrast, no significant trend is observed for highly expressed genes using the microarray platform and only a slight trend is induced for genes with low expression.

In order to validate results obtained using the microarray, we chose several candidate genes for RT-PCR analysis.

Relevant and differentially expressed genes obtained using the microarray data were confirmed using qRT-PCR (Table  1).

B-10 treatment induces significant changes in expression of 24 out of 207 stress genes analyzed using the microarray technique.

Alternatives such using the full microarray gene list or full known gene set generally yielded even stronger prevalence biases (stronger prevalence list performance and stronger correlations between prevalence and true performance).

We acknowledge Jessica Alfoldi, Federica Di Palma, and Kerstin Lindblad-Toh at the Broad Institute for access to rabbit genome sequence data used to improve the microarray gene annotations.

These results confirmed the RNA data obtained in the screening performed using the microarrays for all the selected genes with the exception of Grb2.

In this paper, we made some changes to the ABC algorithm representation in order to use it to solve the microarray gene selection problem.