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A novel approach to predicting the synergy of anti-cancer drug combinations using document-based fea...

A novel approach to predicting the synergy of anti-cancer drug combinations using document-based fea...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c54fd3239a04379a8f21a1e8a28409b

A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction

About this item

Full title

A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2022-05, Vol.23 (1), p.163-163, Article 163

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

To reduce drug side effects and enhance their therapeutic effect compared with single drugs, drug combination research, combining two or more drugs, is highly important. Conducting in-vivo and in-vitro experiments on a vast number of drug combinations incurs astronomical time and cost. To reduce the number of combinations, researchers classify whet...

Alternative Titles

Full title

A novel approach to predicting the synergy of anti-cancer drug combinations using document-based feature extraction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9c54fd3239a04379a8f21a1e8a28409b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c54fd3239a04379a8f21a1e8a28409b

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-022-04698-8

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