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Lastly, the validation and the comparison of BC microarray prognostication methods are made difficult due to the lack of independent data.
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Standard clinical prognostication methods predicted high risk of early mortality in those patients.
For example, in several large patient studies, a 70-gene signature called the "MammaPrint" (Agendia, Amsterdam, the Netherlands) has been shown to outperform classical prognostication methods [ 2– 4].
To date, however, a reproducible and universally recognized prognostication method with a minimal false-positive rate is still not available for cardiac arrest patients.
At present, lactate, pre-resuscitation base deficit and the SIG appear most predictive of outcome in the critically ill, and they should be incorporated into a prognostication method.
Significant variation has been observed when comparing microarray surfaces, printing methods, and probing conditions.
Microarray methods were modified from [ 92].
Piccolo, S. R. et al. A single-sample microarray normalization method to facilitate personalized-medicine workflows.
Performance of this method was compared with the popular microarray analysis method Significant Analysis of Microarrays (SAM) [12].
But, since the end of the nineties, we've seen a huge influx of new technologies into biology: genomics, proteomics, technologies like microarrays, complex genetic methods, and sophisticated microscopy and imaging techniques".
Vidal-Melgosa, S. et al. A new versatile microarray-based method for high throughput screening of carbohydrate-active enzymes.
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