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Identification of a glioma functional network from gene fitness data using machine learning

Identification of a glioma functional network from gene fitness data using machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8831986

Identification of a glioma functional network from gene fitness data using machine learning

About this item

Full title

Identification of a glioma functional network from gene fitness data using machine learning

Publisher

England: John Wiley & Sons, Inc

Journal title

Journal of cellular and molecular medicine, 2022-02, Vol.26 (4), p.1253-1263

Language

English

Formats

Publication information

Publisher

England: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Glioblastoma multiforme (GBM) is an aggressive form of brain tumours that remains incurable despite recent advances in clinical treatments. Previous studies have focused on sub‐categorizing patient samples based on clustering various transcriptomic data. While functional genomics data are rapidly accumulating, there exist opportunities to leverage...

Alternative Titles

Full title

Identification of a glioma functional network from gene fitness data using machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8831986

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8831986

Other Identifiers

ISSN

1582-1838

E-ISSN

1582-4934

DOI

10.1111/jcmm.17182

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