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Drug repositioning: a machine-learning approach through data integration

Drug repositioning: a machine-learning approach through data integration

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_528601

Drug repositioning: a machine-learning approach through data integration

About this item

Full title

Drug repositioning: a machine-learning approach through data integration

Publisher

Cham: Springer International Publishing

Journal title

Journal of cheminformatics, 2013-06, Vol.5 (1), p.30-30, Article 30

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Existing computational methods for drug repositioning either rely only on the gene expression response of cell lines after treatment, or on drug-to-disease relationships, merging several information levels. However, the noisy nature of the gene expression and the scarcity of genomic data for many diseases are important limitations to such approache...

Alternative Titles

Full title

Drug repositioning: a machine-learning approach through data integration

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_swepub_ki_se_528601

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_528601

Other Identifiers

ISSN

1758-2946

E-ISSN

1758-2946

DOI

10.1186/1758-2946-5-30

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