Sentence examples for be detected as such from inspiring English sources
This process was at first an obvious makeshift and can be detected as such because of the characteristically instrumental nature of the lower three parts, with numerous unvocal skips and contours.
In reality, this compound is outside the range "known" by the trained model, and will be detected as such in this experiment (process illustrated in Fig. 13).
Upon manual inspection, these likely reflect the nature of peripheral membrane proteins that could not be detected as such by each predictor alone.
Recent cancer genome studies have clearly demonstrated the extensive mutational heterogeneity in cancers [ 12]; relatively few genes are SFM (and can be detected as such by statistical approaches), whereas most genes are mutated in a small number of samples.
However, shorter genes that are truly DE are less likely to be detected as such than longer genes with expression changes of the same fold change because their transcripts produce fewer nucleotide fragments, and thus are measured relatively higher Poisson noise.
However, in certain fires, the lower spatial resolution of MODIS appears to prevent many of the less intensely radiating fire pixels being detected as such, meaning MODIS underestimates FRE for these fires by up to 46% in comparison to BIRD.
Probably, the reason for not having been detected as such before is that it is present in many mammals, but not in humans.
Thus, because genes regulated by N are detected as such by ANOVA over the WT and bZIP1 mutant data, we decided to analyze the same data but only on WT (2 way ANOVA, L and N).
As for their activity, driver genes are detected as such because they exhibit signals of positive selection (see references [ 10] and [ 13]) in the tumor types where they are nominated as drivers, which implies that either their over-activation (in the case of oncogenes), or their inactivation (for tumor suppressors) exists and is key to the development of tumorigenesis.
During further development of the algorithm, we established that NLP-derived time and dose features were not sufficient to identify cases of APP, as they were not able to completely exclude historic medication information in clinical summaries, resulting in false positive instances (this refers to cases that are not true polypharmacy, but are detected as such by the application).
