An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach

Author:

Esna Ashari ZhilaORCID,Dasgupta Nairanjana,Brayton Kelly A.,Broschat Shira L.

Funder

National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference48 articles.

1. Identification of protein secretion systems in bacterial genomes;SS Abby;Scientific Reports,2016

2. T4SP Database 2.0: An Improved Database for Type IV Secretion Systems in Bacterial Genomes with New Online Analysis Tools;N Han;Computational and Mathematical Methods in Medicine,2016

3. Bacterial Type IV Secretion Systems: Versatile Virulence Machines;D Voth;Future Microbiology,2012

4. Searching algorithm for type IV secretion system effectors 1.0: a tool for predicting type IV effectors and exploring their genomic context;D Meyer;Nucleic Acids Research,2009

5. Accurate prediction of bacterial type IV secreted effectors using amino acid composition and PSSM profiles;L Zou;Bioinformatics,2013

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