Sentence examples for these datasets shown from inspiring English sources

Even more, the dysregulated pathways detected by well-known GSEA [1] on these datasets shown weak performance on the identification of pathways full of DEVGs (Fig.  5c).

Experimental results on these datasets show that our feature descriptors could achieve promising performance.

Principle component analyses (PCA) of the data from Indian samples and these datasets showed a strong separation of one set of Chinese data (Chinese_Study_2) (Fig. 6A), corresponding to samples collected from subjects suffering from advanced gastric cancer.

Comparing classification performance across these datasets shows that when evaluated on the synthetic review dataset, the classifier achieved an accuracy of 87%%, but while using Yelp's reviews only achieved 65%% accuracy.

A hierarchical clustering of these datasets showed the same trends arising from the environmental conditions.

A separate analysis of location errors in the mRNA abundance datasets shows that these datasets show a similar range in systematic shifts as the protein abundance datasets.

These datasets show that real-world GEO datasets, especially historical ones, tend to have small sample size.

The reason we selected the PPI datasets SU-2HY and PF-PCA as network A was because these datasets showed high quality and high coverage of membrane interactions.

Interestingly, for these, the bootstrap consensus ML trees were topologically identical to the ML and Bayesian trees, indicating that the sequences in these datasets show a high degree of internal consistency across positions (i.e. bear few homoplasies).

These datasets show clear dose responses, and the uncertainty in the BMD is relatively modest, with CIs (ratio of 95th percentile to the 5th percentile) ranging from 1.5- to 4.4-fold.

We mapped expression variation onto the yeast interaction network and found that the majority of these datasets showed a distinct pattern in which genes with small epistatic fitness effects show high variance in expression sensitivity (an example is shown in fig. 2 C, and the full dataset is shown in supplementary fig. S1, Supplementary Material online).