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

• Zhila Esna Ashari ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, 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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• Kelly A. Brayton ,

  Contributed equally to this work with: Kelly A. Brayton, Shira L. Broschat

  Roles Conceptualization, Funding acquisition, 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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• Shira L. Broschat

  Contributed equally to this work with: Kelly A. Brayton, Shira L. Broschat

  Roles Conceptualization, Funding acquisition, 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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