Sentence examples for protein classifier from inspiring English sources

In this paper we present a highly accurate classifier called the g-MARS (gapped Markov Chain with support vector machine) protein classifier.

ZENODO: Training data of protein classifier SolubEcoli.pgc and GDP1.pgc, doi: 10.5281/zenodo.10442.

In addition to MRSA252, we have tested the hub protein classifier on an external set of protein interaction data in C. elegans.

Here we present the development of such a hub protein classifier, trained on the existing GO and protein-protein interaction data for Escherichia coli, Saccharomyces cerevisiae, Drosophila melanogaster and Homo sapiens species.

A hub protein classifier has been developed based on the available interaction data and Gene Ontology (GO) annotations for proteins in the Escherichia coli, Saccharomyces cerevisiae, Drosophila melanogaster and Homo sapiens genomes.

To test the hub protein classifier against a null hypothesis, which claims there is no difference of GO term distribution between hubs and non-hubs, we have randomized the protein interaction data in the following ways.

We perform an experimental study and compare g-MARS to several other state-of-the-art protein classifiers.

7TMRmine Web server includes protein classifiers and the database of the classification results.

The number of assigned hub and non-hub classifications is shown in Table 1. Figure 2 illustrates the subsequent steps involved in the development of the hub protein classifiers and their corresponding bioinformatics analyses.

7TMRmine can be also used as a general TM-protein classifier.

Furthermore, 7TMRmine can be used as a general transmembrane-protein classifier.