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Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d63f66e5204442188fe04baf4456244

Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

About this item

Full title

Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

Publisher

London: BioMed Central

Journal title

Genome medicine, 2020-09, Vol.12 (1), p.1-78, Article 78

Language

English

Formats

Publication information

Publisher

London: BioMed Central

More information

Scope and Contents

Contents

Identification of actionable genomic vulnerabilities is key to precision oncology. Utilizing a large-scale drug screening in patient-derived xenografts, we uncover driver gene alteration connections, derive driver co-occurrence (DCO) networks, and relate these to drug sensitivity. Our collection of 53 drug-response predictors attains an average bal...

Alternative Titles

Full title

Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8d63f66e5204442188fe04baf4456244

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d63f66e5204442188fe04baf4456244

Other Identifiers

ISSN

1756-994X

E-ISSN

1756-994X

DOI

10.1186/s13073-020-00774-x

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