Sentence examples for samples but do from inspiring English sources
Whereas traditional biomedical research involves experiments conducted on a living person or persons, biobank participants undergo the process of donating their data and samples, but do not physically experience the research that is conducted using their material.
dChip and overunder are two algorithms which were designed to deal with tumor samples but do not handle admixtures with stromal cells [17], [18].
The main difference between the GTI and COPA therefore appears to be the successful exclusion of false positive genes such as GFAP, which may be highly expressed in the glioma samples, but do not represent true outliers.
The potential human-health relevance for the 7 VOCs that were detected in samples but do not have established MCLs or HBSLs cannot be evaluated at this time.
Anyway we considered this limitation may condition the interpretations about altitudinal and latitudinal gradients for fossil samples, but do not invalidate the suggested patterns.
This is important as we identified other larger duplication events at the locus in two control samples, but do not know if these would have the same or different effects on gene function.
The human assay BacHum-UCD discriminated fully between human and cow stool samples but did not detect all stool samples from human volunteers (12/18).
Hf doping decreased the mobility of Al grain-boundary diffusion from the lower PO2 surface side to the higher PO2 surface side to half that of undoped samples, but did not influence oxygen diffusion through the grain boundaries.
The assay correctly identified 84 M. tuberculosis isolates, 3 M. bovis strains and 1 M. bovis BCG samples, but did not detect 51 non-tuberculous mycobacteria (NTM) isolates and 8 other bacterial species.
The SVM had excellent classification for the flagellates class, which has 1,003 samples, but did not have any sample classified for mesopores class, which has only (9) samples.
Accuracy: This measure is just the ratio of correctly predicted samples but does not give sufficient insight when the data is not in a good balance.
