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(4) How many DNA microarrays are needed?
By using more than two dyes in microarray experiments, without lessening the data obtained, costs and time can be decreased as fewer microarrays are needed.
In contrast to the type 1 approach, this "reference design" approach is called type 2 approach [ 4], in which only n microarrays are needed to calculate the ratios of any possible pairs of n samples.
For example, when 3 treatments and a control are to be compared using 4 data points per comparison, 16 microarrays are needed for a common reference design, 12 arrays for a block design (treatment vs. control on an array), 8 when using a loop design, but only 4 with 4 dyes and the design shown in Table 4.
Similar(56)
With lower binding energy difference criteria, additional hybridization specificity tests on the microarray were needed to eliminate non-specific probes.
Future experiments or large microarray studies are needed to clarify the possible mechanisms.
Given the inconsistency of results across similar studies, methods that identify robust biomarkers from microarray data are needed to relay true biological information.
To increase the clinical utility of microarrays, assay controls are needed that benchmark performance using metrics that are relevant to the analysis of genomic data generated with biological samples.
First, a manageable number of candidate biomarkers can be rapidly identified at low cost because fewer expensive protein microarrays of high-content are needed in the first phase of this two-phase strategy.
With the generation of large data sets from microarray experiments, statistical methods are needed to extract useful information.
We would like to emphasize that even our HCSS-method only requires four microarrays per evaluation; more experiments are needed to accurately determine whether the spike in differentially expressed genes for the 250 ng LNA polyA is a real optimum or noise in the dose response curve.
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