Sentence examples for assess clusters from inspiring English sources

We used random forests with cross-validation to simultaneously assess clusters of variables to delineate predictive accuracy and to identify the most important distinguishing variables.

To determine if a particular cluster is genuinely related to the promoter, it is important to assess clusters of predicted TFBS for each individual PWM.

For M2, we processed a small series of sections in and around area TEO as an uninterrupted series for immunofluorescence (silver enhancement in the first section of 4), in order to assess clusters of green and red labeling more clearly.

As data clustering is essentially an unsupervised classification approach, it is important to assess clustering results by means of objective criteria, so as to validate the soundness of the results.

The problem of likelihood of clusters throughout a set of dendrograms resulting from HCA, taking into account the vast amount of ties, has been addressed in this paper by proposing four contrast functions, summarized as follows: if one wants to assess cluster frequency in dendrograms resulting from ties, one needs to count the number of times the cluster shows up in these dendrograms.

Although it has been most widely applied in the field of biostatistics (typically to assess cluster-based models of DNA sequences, or other taxonomic models), it can also be used in other fields of inquiry where raw data tend to occur in clumps, or clusters.

Distributions of samples on the first to fourth dimensions were used to assess clustering and diversity within and between the groups.

The complete E1 E2 cloned region was subjected to phylogenetic analysis in order to rule out potential contamination between specimens and assess clustering of patients according to treatment outcome.

One method to assess cluster:DNA stoichiometry is mass spectrometry.

The objective of this work is to develop a statistical criterion to assess clustering of TFBS.

A bootstrapping resampling approach in the R library pvclust (Suzuki and Shimodaira, 2006) was applied to assess clustering robustness.