Sentence examples for methods as belonging from inspiring English sources

At a genotypic level, 16 of the strains were identified by molecular methods as belonging to L. lactis subsp. lactis and one to L. lactis subsp. cremoris.

We identify sentiment detection methods as belonging to one of three categories, each carrying their own advantages and disadvantages: 1 Dictionary-based methods [5, 7 11],   2 Supervised learning methods [10], and   3 Unsupervised (or deep) learning methods [12].  .

A value of A=1 means that all (100%) of the proteins predicted by the method P1 as belonging to a subcellular location L were predicted to be in the same location by the method P2.

In the experiments presented here, unsupervised methods identified isoforms as belonging to the same gene, but failed to cluster genes in the core sex hierarchy and did not yield many associations that were able to be verified in the existing literature.

These alchemical methods have been designated as belonging to the Taiqing ("Great Purity") tradition, from the name of the heaven of the Immortals to which the elixirs were said to elevate their consumer.

The method classifies them all as belonging to the second group.

Note that almost all abovementioned methods predicted the antigenic residues as belonging to one single epitope without considering multiple nonoverlapping epitopes for an antigen.

Indeed, the main, though not invariable, method of defining a work as belonging to popular literature is whether it is ephemeral, that is, losing its appeal and significance with the passage of time.

This paper demonstrates that previous approaches taken to simplify the methods of solution can usually be identified as belonging to one of two distinct and physically relevant regimes.

Using the clustering methodology outlined here, this method would have identified this one gene as belonging to six different clusters due to overlap between the 12 sequences.

Probabilistic, nature-inspired optimization techniques belonging to this group of robust methods, as well as metamodel-driven and approximation-based optimization strategies, are discussed here.