MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network

Anubha Dey; Suresh Mudunuri; Manjari Kiran

doi:10.1371/journal.pcbi.1012336

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Open Access

Peer-reviewed

Research Article

MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network

Anubha Dey,

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

Affiliation Department of Systems and Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad, India
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Suresh Mudunuri,

Roles Resources, Visualization

Affiliation Centre for Bioinformatics Research, SRKR Engineering College, Andhra Pradesh, India
⨯
Manjari Kiran

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Visualization, Writing – review & editing

* E-mail: manjari.hcu@uohyd.ac.in

Affiliation Department of Systems and Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad, India

https://orcid.org/0000-0003-0153-7072

⨯

MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network

Anubha Dey,
Suresh Mudunuri,
Manjari Kiran

Published: August 26, 2024
https://doi.org/10.1371/journal.pcbi.1012336

About the Authors

Anubha Dey

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

Affiliation Department of Systems and Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad, India

Suresh Mudunuri

Roles Resources, Visualization

Affiliation Centre for Bioinformatics Research, SRKR Engineering College, Andhra Pradesh, India

Manjari Kiran

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Visualization, Writing – review & editing

* E-mail: manjari.hcu@uohyd.ac.in

Affiliation Department of Systems and Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad, India

https://orcid.org/0000-0003-0153-7072

Competing Interests

The authors have declared that no competing interests exist.

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Genetic interactions
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Protein interaction networks
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Protein-protein interactions
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Cancers and neoplasms
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Genetic networks
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Machine learning
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CRISPR
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Gene ontologies
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