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Extreme value theory as a framework for understanding mutation frequency distribution in cancer geno...

Extreme value theory as a framework for understanding mutation frequency distribution in cancer geno...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2564124740

Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes

About this item

Full title

Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-08, Vol.16 (8), p.e0243595

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Currently, the population dynamics of preclonal cancer cells before clonal expansion of tumors has not been sufficiently addressed thus far. By focusing on preclonal cancer cell population as a Darwinian evolutionary system, we formulated and analyzed the observed mutation frequency among tumors (MFaT) as a proxy for the hypothesized sequence read...

Alternative Titles

Full title

Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2564124740

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2564124740

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0243595

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