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Finally, even with rapid delivery systems that have been developed, shimming of the HP sample remains a challenge.
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Despite this progress, truly systemic analysis which would take into account both gene expression and proteomic data from the same sample remains an elusive goal.
The representativeness of our sample remains an open issue, as we did not obtain background data about the staff in the clinics (e.g., team composition, gender and age).
However, small number of training samples remains a bottleneck to design suitable supervised classifiers.
Quantification of mRNAs from extremely small human samples remains a challenge.
Although Zn2+ ions are involved in large numbers of physiopathological processes, non-invasive detection of Zn2+ ions in opaque biological samples remains a huge challenge.
Robust surface-enhanced Raman scattering (SERS) detection of chemicals in real environmental samples remains a huge challenge because of the use of a complex unknown sample, low molecular affinity for metal surface, or the inefficient use of hot spots.
Therefore the low abundance of viral RNA in some clinical samples remains a barrier to this application.
Thus, specificity of low-positive samples remains a diagnostic issue.
Therefore, enhancing the specificity and sensitivity of glycopeptide enrichment and detection in complex samples remains a very real challenge.
However, the heterogeneity of clinical tumour samples remains a fundamental problem which must be addressed (Winegarden, 2003).
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