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Deep learning assisted multi-omics integration for survival and drug-response prediction in breast c...

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast c...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a833f80e71c9406696826d51d3a16859

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

About this item

Full title

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2021-03, Vol.22 (1), p.214-214, Article 214

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Survival and drug response are two highly emphasized clinical outcomes in cancer research that directs the prognosis of a cancer patient. Here, we have proposed a late multi omics integrative framework that robustly quantifies survival and drug response for breast cancer patients with a focus on the relative predictive ability of available omics da...

Alternative Titles

Full title

Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a833f80e71c9406696826d51d3a16859

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a833f80e71c9406696826d51d3a16859

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-021-07524-2

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