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A modified decision tree approach to improve the prediction and mutation discovery for drug resistan...

A modified decision tree approach to improve the prediction and mutation discovery for drug resistan...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_305a7b7070514539ac4336b1f3c58bdb

A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

About this item

Full title

A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2022-01, Vol.23 (1), p.46-46, Article 46

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Drug resistant Mycobacterium tuberculosis is complicating the effective treatment and control of tuberculosis disease (TB). With the adoption of whole genome sequencing as a diagnostic tool, machine learning approaches are being employed to predict M. tuberculosis resistance and identify underlying genetic mutations. However, machine learning appro...

Alternative Titles

Full title

A modified decision tree approach to improve the prediction and mutation discovery for drug resistance in Mycobacterium tuberculosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_305a7b7070514539ac4336b1f3c58bdb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_305a7b7070514539ac4336b1f3c58bdb

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-022-08291-4

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