Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila-Reference-Cited by-同舟云学术

Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila

Published:2019-01-25 Issue:1 Volume:14 Page:e0202312
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Esna Ashari Zhila^ORCID,Brayton Kelly A.,Broschat Shira L.

Funder

National Institutes of Health

Carl M. Hansen Foundation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference40 articles.

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

5. Genome-Scale Identification of Legionella pneumophila Effectors Using a Machine Learning Approach;D Burstein;The International Journal of Biochemistry and Cell Biology,2009

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