Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.
about
Use of Biomedical Ontologies for Integration of Biological Knowledge for Learning and Prediction of Adverse Drug Reactions.Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.Computational models for predicting drug responses in cancer research.Prognosis of Clinical Outcomes with Temporal Patterns and Experiences with One Class Feature Selection.Transcriptome profiling of NIH3T3 cell lines expressing opsin and the P23H opsin mutant identifies candidate drugs for the treatment of retinitis pigmentosa.Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.Biomarkers of adverse drug reactions.Towards a better cancer precision medicine: systems biology meets immunotherapy.
P2860
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P2860
Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Systems biology approaches for ...... erlying biological mechanisms.
@ast
Systems biology approaches for ...... erlying biological mechanisms.
@en
type
label
Systems biology approaches for ...... erlying biological mechanisms.
@ast
Systems biology approaches for ...... erlying biological mechanisms.
@en
prefLabel
Systems biology approaches for ...... erlying biological mechanisms.
@ast
Systems biology approaches for ...... erlying biological mechanisms.
@en
P2860
P50
P356
P1476
Systems biology approaches for ...... erlying biological mechanisms.
@en
P2093
Alexandra Jacunski
Robert Moskovitch
P2860
P304
P356
10.1002/WSBM.1323
P577
2015-11-12T00:00:00Z