The phrase "approach of microarray" is correct and usable in written English.
It can be used when discussing methodologies or strategies related to microarray technology in scientific or technical contexts.
Example: "The approach of microarray analysis has revolutionized the way we study gene expression."
Alternatives: "method of microarray" or "strategy of microarray".
In this study, we utilized a systematic approach of microarray analysis to discover the transcriptional regulatory network of starch metabolism in Arabidopsis leaves.
Wang et al. [ 40] investigated direct 1 α,25(OH 2D3-target genes OH 2D3-targetale by usingenesonbined approach of microarray analarge and in scaleo genome-wide screens for DR3 and ER6-type VDREs.
Since extensive research has been ongoing with the Li 1 mutant, our laboratory selected the Li 2 mutant in an established near-isogenic state with the Upland cotton variety DP5690 as a model system to study fiber elongation events using a combined functional and structural genomics approach of microarray gene expression and molecular marker analysis.
Here, a combined approach of microarray discovery and quantitative reverse transcriptase (qRT -PCR validation using PBMCs from a total of 44 tolerant and 48 non-tolerant patients was used [ 89] to determine a first gene expression signature of renal allograft tolerance consisting of 33 genes.
As an alternative method to the parametric approach, a nonparametric approach (Correlative Analysis of Microarray or CAM) was implemented as previously described [ 41] and the results from the two statistical approaches were compared for concordance.
We chose to use a miRNome real-time RT-PCR based approach instead of microarray for several reasons.
The regular approach of summarising microarray data into probe set and meta probe set is therefore difficult to use.
As an example, "simple_binary_poly" means the approach of concatenating microarray and binary ChIP-seq data and training using an SVM with a polynomial kernel function.
This approach of integrating microarray data from a diverse set of conditions provides a common "context" of gene behaviors, whereby one can obtain a better understanding of the specific function of a gene for a particular condition under investigation.
To investigate the merit of these endogenous control selection methods, we analyzed gene expression using different real-time PCR normalization setups and compared it with gene expression obtained using the fundamentally different approach of expression microarray measurements.
