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Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes
BACKGROUND: Drug-drug interaction (DDI) is a serious public health issue. The L1000 database of the LINCS project has collected millions of genome-wide expressions induced by 20,000 small molecular compounds on 72 cell lines. Whether this unified and comprehensive transcriptome data resource can be...
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| Yayımlandı: | BMC Bioinformatics |
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| Asıl Yazarlar: | , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2021
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8194123/ https://ncbi.nlm.nih.gov/pubmed/34116627 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04241-1 |
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