Sentence examples for clustering over from inspiring English sources

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The coverage of K over nanotubes should not be much larger as it causes clustering over nanotube.

Interestingly, the MP cells also show clustering over a wide scale of distances, suggesting that the randomization of the pattern by cell migration and death was incomplete in the analysed growing population.

The same result was obtained after clustering over all genes exhibiting anti-correlative patterns between differential DNAm and mRNA expression, indicating that the relative homogeneity of the epigenetic landscape of ER+ breast cancer was not due to us using the FEM algorithm.

The reconstructed OTU table of stool samples was normalized (The OTU table column sum to 1). and clustered using partitioning around medoids (PAM) clustering over Euclidian distance.

[It could be chance too: things will tend to cluster about a genomic wild type for chance reasons as well, but if that happens by chance it is unlikely to be maintained by chance, and so we can ignore random clustering over time.] So in the absence of sex, you are going to need ecological niche adaptation to keep the cluster from just randomly evaporating.

Au grains are clustering over the surface and present a lower density.

Such co-occurrence relationships are efficiently uncovered via clustering over the Bag-of-Iconics representation (Section 4.1).

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In contrast, clustering over-represented 8-mer words using the RSAT resulted in long aberrant motifs because of the chain effect of clustering.

Consensus matrices were generated for each k-clustering over all iterations and assessed visually as well as by cophenetic correlation.

A very similar result is obtained when bi-clustering over only HCT116 and SW480 (two colon cancer cell lines clustered together in Figure  1), where over an eight-fold increase in the H4 HATs CDY1 and HAT1 is observed (Additional file 5), and notably HCT116 is found to be enriched in H4 acetylation.

However, potential autocorrelation (due to the time of the weekly diagnosis rates and clustering [over-dispersion] of the accuracy within observations) was investigated; standard errors would be adjusted for any observed lack of independence or over-dispersion.

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