The phrase "array analysis method" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or computational methods involving arrays.
Example: "The array analysis method allows researchers to efficiently process large datasets and extract meaningful insights."
Alternatives: "array evaluation technique" or "array assessment approach".
To try and discern the pathways involved in cell death induction by BN108, expression array analysis (Methods S1) was performed with RNAs isolated from BT474 cells prior to and after a 4 hour treatment with BN108.
Differences of probes/genes expression between control and ammonia-treated groups were next compared using standard array analysis methods: (i) an unpaired t-test with Benjamini Hochberg adjustment for FDR; and (ii) normalised expression values between treatment groups were tested using SAM at an FDR rate of α=0.05.
We used the GC-RMA (Robust Multi-array Analysis) method to normalize the hybridisation results; this method uses the GC content of the probes to reduce variance in the mismatch (control) probe levels as spotted on the Affymetrix arrays [10].
Probe intensities in the whole set were normalized using the GCRMA (GC-corrected Robust Multi-Array Analysis) method.
The array data was summarized and normalized with Robust Multi-array analysis method by the software 'Expression Console' (Affymetrix).
Expression measures for each probeset were obtained using GCRMA [ 110], which is a multi-array analysis method estimating probeset signals considering the physical affinities between probes and targets.
The downloaded profile had been preprocessed which was carried out with background correction, log2 transformation, and quantile normalization using the RMA (Robust Multi-array Analysis) method of affy package in R [ 13].
The array data were summarised and normalised using the robust multi-array analysis method and the software 'Expression Console' (Affymetrix), and were corrected for batch effects within the array data using COMBAT [ 15].
Flynet stores relevant experimental metadata including the gene synonyms, data source (experimental conditions referring to appropriate development stage or cell line), antibody name, array platform, analysis method and literature reference.
We presented the HHCRF, an array-CGH analysis method for jointly classifying tumors by clinical label, extracting copy number profiles, and identifying clinically relevant genes.
