DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions

标题
DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions
作者
关键词
Deep learning, Genomewide association study, Pharmacogenomics, Single nucleotide polymorphisms, Adverse drug reaction
出版物
BMC Medical Genomics
Volume 9, Issue S2, Pages -
出版商
Springer Nature
发表日期
2016-08-10
DOI
10.1186/s12920-016-0207-4

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