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An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumor...

An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumor...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28636b07808e425089dd12c9228c0c8b

An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients

About this item

Full title

An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2019-11, Vol.20 (1), p.555-555, Article 555

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

We previously introduced a random-effects model to analyze a set of patients, each of which has two distinct tumors. The goal is to estimate the proportion of patients for which one of the tumors is a metastasis of the other, i.e. where the tumors are clonally related. Matches of mutations within a tumor pair provide the evidence for clonal related...

Alternative Titles

Full title

An EM algorithm to improve the estimation of the probability of clonal relatedness of pairs of tumors in cancer patients

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_28636b07808e425089dd12c9228c0c8b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28636b07808e425089dd12c9228c0c8b

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-019-3148-z

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