A data-driven approach for constructing mutation categories for mutational signature analysis

Gal Gilad; Mark D. M. Leiserson; Roded Sharan

doi:10.1371/journal.pcbi.1009542

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Open Access

Peer-reviewed

Research Article

A data-driven approach for constructing mutation categories for mutational signature analysis

Gal Gilad,

Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

Affiliation School of Computer Science, Tel Aviv University, Tel Aviv, Israel

https://orcid.org/0000-0003-1913-8918

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Mark D. M. Leiserson,

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

Affiliation Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America

https://orcid.org/0000-0002-1034-4363

⨯
Roded Sharan

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – original draft

* E-mail: roded@tauex.tau.ac.il

Affiliation School of Computer Science, Tel Aviv University, Tel Aviv, Israel

https://orcid.org/0000-0001-8363-4882

⨯

A data-driven approach for constructing mutation categories for mutational signature analysis

Gal Gilad,
Mark D. M. Leiserson,
Roded Sharan

Published: October 19, 2021
https://doi.org/10.1371/journal.pcbi.1009542

About the Authors

Gal Gilad

Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft

Affiliation School of Computer Science, Tel Aviv University, Tel Aviv, Israel

https://orcid.org/0000-0003-1913-8918

Mark D. M. Leiserson

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

Affiliation Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America

https://orcid.org/0000-0002-1034-4363

Roded Sharan

Roles Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing – original draft

* E-mail: roded@tauex.tau.ac.il

Affiliation School of Computer Science, Tel Aviv University, Tel Aviv, Israel

https://orcid.org/0000-0001-8363-4882

Competing Interests

The authors have declared that no competing interests exist.

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Mutation
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Point mutation
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Gene expression
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Cancers and neoplasms
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Substitution mutation
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Cosine similarity
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Etiology
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Prostate cancer
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