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

• Zhila Esna Ashari ,

  Roles Data curation, Formal analysis, Investigation, Software, Visualization, Writing – original draft

  * E-mail: z.esnaashariesfahan@wsu.edu

  Affiliation School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, United States of America

  http://orcid.org/0000-0003-0454-7794

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• Nairanjana Dasgupta,

  Roles Conceptualization, Methodology

  Affiliation Department of Mathematics and Statistics, Washington State University, Pullman, Washington, United States of America

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• Kelly A. Brayton,

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  Affiliations School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, United States of America, Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, Washington, United States of America, Paul G. Allen School for Global Animal Health, Washington State University, Pullman, Washington, United States of America

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• Shira L. Broschat

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  Affiliations School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, United States of America, Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, Washington, United States of America, Paul G. Allen School for Global Animal Health, Washington State University, Pullman, Washington, United States of America

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