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The microarray method, however, should generically be more reliable, as microarrays are explicitly intended to quantitatively measure expression levels.
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However, the microarray method has critical limitations, such as spatial bias, uneven probe problems, low sensitivity, and dependency on the probes spotted.
Therefore, it is important to consider the potential of microarrays in biomaterials research and cell-based studies; however, biomaterials research using the microarray method will have to be further developed in the future.
The results, however, clearly indicated that the present microarray method was very efficient for screening the genes differentially expressed in SRCBs.
This method, however, does not discriminate between individual microarray experiments with or without associated biases.
However, AuNP-ICA lacks sensitivity comparisons with conventional ELISA and microarray methods.
Microarray methods were modified from [ 92].
His methods, however, produced results.
This method has been tailored for microarray data, however its use is being explored also in different fields [37], [38].
In this study, genes from this class were identified as essential from microarray analysis; however these were not identified by other methods.
Quantitative real-time PCR is commonly used to validate gene expression results obtained from microarray analysis however there are factors inherent in these two methods that can lead to contradictory data (Morey et al. [2006]).
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