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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Detalles Bibliográficos
Autores principales: Luo, Qichao, Mo, Shenglong, Xue, Yunfei, Zhang, Xiangzhou, Gu, Yuliang, Wu, Lijuan, Zhang, Jia, Sun, Linyan, Liu, Mei, Hu, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194123/
https://www.ncbi.nlm.nih.gov/pubmed/34116627
http://dx.doi.org/10.1186/s12859-021-04241-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194123/
https://www.ncbi.nlm.nih.gov/pubmed/34116627
http://dx.doi.org/10.1186/s12859-021-04241-1

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