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 genomes
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United States: Public Library of Science
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English
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United States: Public Library of Science
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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...
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Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes
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TN_cdi_plos_journals_2564124740
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2564124740
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0243595