Sentence examples for applicable to dataset from inspiring English sources

Exact(1)

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).

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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.

The "Min test) vs Max ref)" method is applicable to datasets with low replicate numbers, and fast to compute because no permutation procedure is necessary.

Random colour schemes also exist that are applicable to datasets with a large number of possible values per allele position, such as SSR data.

For such temporal pathway analysis to be practical, a method needs to be: (1) applicable to datasets with small or even changing sample size at each time point or condition.

Results: The availability of PyNAST will make the popular NAST algorithm more portable and thereby applicable to datasets orders of magnitude larger by allowing users to install PyNAST on their own hardware.

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