Sentence examples for clustering principles from inspiring English sources

Annotation software recently introduced, use clustering principles to deconvolve the data, where isotopic or adduct ions will coelute and improve confidence in assigning identity.

The three main approaches which have been used for interrogating text data can be summarised as being: Manual review and coding, text search methods, and automated or semi-automated methods employing statistical and/or lexical software tools using Bayesian clustering principles.

The clustering principle is to join any nearest neighbor, making the clustering independent of any cutoff.

Similar, and often identical, clusters of TFBS were obtained when applying the phylogenic foot printing approach as well as when we used the hybrid TFBS/promoter database and an alternative clustering principle.

The so-called dynamic clustering means the gradual adjustment of a value to a reasonable range using the dynamic clustering principle.

The current clustering analysis provides ligand class association to 52 Drosophila (Table 2) and 95 human orphan receptors could be associated with probable ligand classes using co-clustering principles as earlier observed within human GPCR sequences alone [ 12].

Additional TIFF file analysis, data normalization, clustering, and principle components analysis was performed using the Spotfinder, MIDAS and MultiExperiment Viewer Software from The Institute for Genomic Research TIGRRockvillelle, MD, [ 44], [ 12]) and used default values set in the MCW Practical Guide to TIGR Software Use (M. Datta, unpublished).

Multivariate analysis methods, such as Clustering analysis and Principle component analysis, were applied to determine the quality differences between samples.

In principle, clustering sequences into clones can also be done before or in parallel with V(D J assignments [ 76].

Because the methodology is built upon theoretically sound principles of clustering analysis and health care service utilization, it is highly transferable across applications and suitable for grouping facilities or areal units.

Third, to convert h score to ranks, we use a ranking method that works in principle by clustering the interactions with closely-related h score values for all interactions managed in the HAPPI database (see supplemental material for details).