Sentence examples for applicable to datasets from inspiring English sources
These are applicable to datasets taken in GRADED mode, wherein no CTI correction is available for the back-illuminated (BI) chips.
The standard applies to all geographic data–– it is applicable to datasets in series, datasets, individual geographic features, and their attributes.
The cointegration test is applicable to datasets that are stationary at the same level (either first difference or second difference).
PCA is a multivariate eigenanalysis technique that is applicable to datasets that are approximately normally-distributed with variables that are linearly related [37].
We consider that framework to be broadly applicable to datasets describing relationships between entities from different classes, where we want to be able to simultaneously visualize the different classes such that visual distance can be associated to a dissimilarity measure, both within class and between classes.
However, that algorithm is designed for querying time-course gene expression data only, and is generally not applicable to datasets where the experimental conditions are unrelated.
To uncover PTBP1-KD associated mechanisms, we first performed within-study analyses (N-of-1 pathways, FET enrichment, GSEA, DEG enrichment) independently for each of the datasets I, II and III (Methods, Figures 2, 3 ; Table 2; GSEA and DEG was not applicable to Dataset I).
There were 12 KEGG functional annotation terms for the training dataset whereas this number was 11 for the test dataset, which shows that our proposed framework is also applicable to independent datasets.
The codebook was based on the set of k-tuples observed in our data, but as further datasets become available it should be possible to design a universal codebook applicable to all datasets.
StalAge is applicable to problematic datasets that include outliers, age inversions, hiatuses and large changes in growth rate.
Image Analysis / Computer Vision Applicants should have experience with state of the art image analysis / computer vision techniques based on machine learning and applicable to large datasets.
