Integrative relational machine-learning for understanding drug side-effect profiles.
about
Mining Chemical Activity Status from High-Throughput Screening AssaysPredicting drug side effects by multi-label learning and ensemble learningDrug Side Effect Profiles as Molecular Descriptors for Predictive Modeling of Target Bioactivity.Large-scale identification of adverse drug reaction-related proteins through a random walk model.Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models.Drug Repurposing by Simulating Flow Through Protein-Protein Interaction Networks.Quantitative prediction of drug side effects based on drug-related features.Drug knowledge bases and their applications in biomedical informatics research.Predicting serious rare adverse reactions of novel chemicals.
P2860
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P2860
Integrative relational machine-learning for understanding drug side-effect profiles.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Integrative relational machine-learning for understanding drug side-effect profiles.
@ast
Integrative relational machine-learning for understanding drug side-effect profiles.
@en
Integrative relational machine-learning for understanding drug side-effect profiles.
@nl
type
label
Integrative relational machine-learning for understanding drug side-effect profiles.
@ast
Integrative relational machine-learning for understanding drug side-effect profiles.
@en
Integrative relational machine-learning for understanding drug side-effect profiles.
@nl
prefLabel
Integrative relational machine-learning for understanding drug side-effect profiles.
@ast
Integrative relational machine-learning for understanding drug side-effect profiles.
@en
Integrative relational machine-learning for understanding drug side-effect profiles.
@nl
P2093
P2860
P356
P1433
P1476
Integrative relational machine-learning for understanding drug side-effect profiles
@en
P2093
Arnaud Sinan Karaboga
Emmanuel Bresso
Gino Marchetti
Malika Smaïl-Tabbone
Michel Souchet
Renaud Grisoni
P2860
P2888
P356
10.1186/1471-2105-14-207
P577
2013-06-26T00:00:00Z
P5875
P6179
1007193450