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Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data
BACKGROUND: Although in silico drug discovery is necessary for drug development, two major strategies, a structure-based and ligand-based approach, have not been completely successful. Currently, the third approach, inference of drug candidates from gene expression profiles obtained from the cells t...
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| Gepubliceerd in: | BMC Bioinformatics |
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| Hoofdauteur: | |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7394334/ https://ncbi.nlm.nih.gov/pubmed/30717646 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2395-8 |
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