Sentence examples for microarray method have from inspiring English sources

For the past several decades, high-throughput (HTP) data generated using the microarray method have contributed significantly to the discovery of quantitative signatures of various diseases.

Therefore, large-scale transcriptomic analyses using the microarray method have been superseded by the RNA-Seq generated through application of the recently developed next-generation sequencing (NGS) method.

On the other hand, microarray method has well-known drawbacks, when compared to polymerase chain reaction methods or immunohistochemistry used in our earlier papers.

However, the microarray method has critical limitations, such as spatial bias, uneven probe problems, low sensitivity, and dependency on the probes spotted.

The protein microarrays showed 4.5 and 3.5 times lower IC50 than the ci-ELISA detection for CL and SM2 respectively, suggesting that the protein microarray method has better sensitivity than the ci-ELISA detection method.

The cDNA microarray method has been developed recently and has been successfully applied to genomewide analysis of gene expression stimulated by hormones and/or chemicals (Inoue and Pennie 2002; Watanabe and Iguchi 2003).

Details of RNA extraction and microarray methods have been described elsewhere [21], [22].

High-throughput microarray methods have also been developed to probe RNA structures (33− 33−.

Microarray methods have been widely used [ 1] to monitor global gene expression changes during investigations of transcriptional regulatory mechanisms and have been the gold standard in expression profiling studies for most of the last 15 years.

Extensive transcription data based on the microarray methods has shown that smoking makes a substantial impact on gene expression in airway epithelium [ 11- 18, 45, 46].

These repeatability and reproducibility results demonstrated that the multiplex RT-PCR-microarrays method had good intra- and interassay precision.