On the one hand, microarray technology is still imperfect and it is prudent to evaluate a number of exploratory approaches.
However, workflow for the detection of alternative splicing events using this new microarray technology has still to be investigated in order to define the importance of each analysis step and its strength and weakness.
The fight is still going on.As microarray technology has become more robust, there are fewer reasons for scientists to make their own.
However, microarray technology has several limitations.
With the vast amount of work still to be done, microarray technology will have an increasingly important role in the post-genomic era and will most certainly be an essential player in the post-genomic era.
The microarray technology has a wide range of applications and is still developing.
Although microarray technology has been used for several years, expression data still contain missing values due to various reasons such as scratches on the slide, spotting problems, poor hybridization, inadequate resolution, fabrication errors and so on.
In contrast to microarray studies, in which quantile normalization has been the default methodology, NGS technology still seeks an optimal normalization method, and this issue can also introduce variability into the detection of rhythmicity.
Although the microarray technology has been developed for more than a decade, typical microarray data still contain more than 5% missing values with up to 90% of genes affected [ 11].
Complementary DNA microarray technology has been widely used to this end, but this technique is still far from clinical implementation mainly due to the need for validation and standardisation across laboratories, and also due to the high costs.
