Sentence examples for test clustered from inspiring English sources

The majority of HCC samples (K, n = 62, 88%, p < 0.0001 by Fisher's exact test) clustered in the same branch of the dendrogram clearly separated from matched non-neoplastic counterparts (N) (see Additional file 1).

Both tests clustered severe G6PD-deficient samples in the low G6PD activity range.

Notably, three of the cases that were HER2 IHC positive by local but not central testing clustered with the IHC negatives when assessed using this methodology.

Bayesian learning provides a firm theoretical basis of the design and exploitation of algorithms in data-streams processing (preprocessing, change detection, hypothesis testing, clustering, etc).. Primarily, it relies on a recursive parameter estimation of a firmly bounded complexity.

In tests, clusters that we developed with SVD perfectly matched what was expected based on Linnaean taxonomy.

We compared test cluster variance by using CV to limit the variable scale effects.

Benchmarking and model derivation can be done using a small test cluster based on new hardware.

The requirement to test cluster stability also for varying data sets leads to several approaches to extend the idea of comparing partitions resulting from non-equal, but overlapping data sets [33], [36], or even disjoint data sets [34], [37].

SaTScan™ employs Kulldorff's spatial scan statistic (16– 18) to identify and test clusters of childhood mortality.

It employs Kulldorff's spatial scan statistic to identify and test clusters of mortality.

To measure the uniformity of generated clusters, 10 test clusters were created with 100 points in each cluster.