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CBNA: A control theory based method for identifying coding and non-coding cancer drivers

CBNA: A control theory based method for identifying coding and non-coding cancer drivers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2339843813

CBNA: A control theory based method for identifying coding and non-coding cancer drivers

About this item

Full title

CBNA: A control theory based method for identifying coding and non-coding cancer drivers

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2019-12, Vol.15 (12), p.e1007538-e1007538

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

A key task in cancer genomics research is to identify cancer driver genes. As these genes initialise and progress cancer, understanding them is critical in designing effective cancer interventions. Although there are several methods developed to discover cancer drivers, most of them only identify coding drivers. However, non-coding RNAs can regulat...

Alternative Titles

Full title

CBNA: A control theory based method for identifying coding and non-coding cancer drivers

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2339843813

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2339843813

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1007538

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