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Since the introduction of DNA microarray technology, there has been an increasing interest on clinical application for cancer diagnosis.
However, in order for magnetic biosensing to become competitive with current optical protein microarray technology, there is a need to increase the number of sensors while maintaining the high sensitivity and fast readout time characteristic of smaller arrays (1 8 sensors).
In the decade since the advent of microarray technology, there has accumulated a great deal of frustration among biologists who spend too much effort pursuing false leads and miss many important findings.
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Besides the inherent difficulty of the large and nonconstant variability in these experiments and the incommensurability between different microarray technologies, there is the issue of the users having to adjust a series of parameters that significantly affect the outcome of the analyses and that do not have a biological or medical meaning.
When gene expression microarray technology emerged some 10 years ago, there was a great deal of enthusiasm.
Although many of the sources of technical noise and variation in gene expression microarray technology have been overcome, there remain challenges, such as the approach to tumour heterogeneity, which need to be overcome before it is accepted into clinical practice.
Although we have found several genome-wide expression analysis studies that used DNA microarray technology in S. cerevisiae, there is no equivalent information available on other species of the genus adapting to low temperature.
The fight is still going on.As microarray technology has become more robust, there are fewer reasons for scientists to make their own.
Since the development of microarray technology in the 1990's, there has been a steadily increasing interest in developing these gene signatures for various clinical and environmental applications [ 1- 4].
Because microarray technology is based on fluorescence intensity, there is always a nonzero background intensity, allowing microarray data to be log-transformed.
There is international consensus that the Affymetrix microarray technology provides a reliable platform to measure gene expression [63].
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