Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences

Quinn Dickinson; Jesse G. Meyer

doi:10.1371/journal.pcbi.1009736

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Open Access

Peer-reviewed

Research Article

Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences

Quinn Dickinson,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin

https://orcid.org/0000-0002-7744-3083

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Jesse G. Meyer

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: jessegmeyer@gmail.com

Affiliation Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin

https://orcid.org/0000-0003-2753-3926

⨯

Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences

Quinn Dickinson,
Jesse G. Meyer

Published: January 28, 2022
https://doi.org/10.1371/journal.pcbi.1009736
See the preprint

About the Authors

Quinn Dickinson

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin

https://orcid.org/0000-0002-7744-3083

Jesse G. Meyer

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: jessegmeyer@gmail.com

Affiliation Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin

https://orcid.org/0000-0003-2753-3926

Competing Interests

The authors have declared that no competing interests exist.

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Amino acid analysis
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Machine learning
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Major histocompatibility complex
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Serine
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Deep learning
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Threonine
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Histidine
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Proline
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