(DREM³L) Drug REpurposing using Mechanistic Models of signal transduction and Machine LearningThe authors acknowledge Junta de Andalucía for the postdoctoral contract of Carlos Loucera (PAIDI2020- DOC_00350) co-funded by the European Social Fund (FSE) 2014-2020
Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new m...
© 2019 Elsevier Ltd. All rights reserved.The discovery of macromolecular targets for bioactive agent...
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the infor...
(DREM³L) Drug REpurposing using Mechanistic Models of signal transduction and Machine LearningThe au...
(DREM³L) Drug REpurposing using Mechanistic Models of signal transduction and Machine LearningThe au...
Training data for the "Drug REpurposing using eXplainable Machine Learning and Mechanistic Models o...
This work is supported by grants SAF2017-88908-R from the Spanish Ministry of Economy and Competitiv...
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal trans...
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal trans...
(DRExM³L) Drug REpurposing using and eXplainable Machine Learning and Mechanistic Models of signal t...
In this work, we use an innovative methodology that combines mechanistic modeling of the signal tran...
Existing computational methods for drug repositioning either rely only on the gene expression respon...
Existing computational methods for drug repositioning either rely only on the gene expression respon...
Repurposing is an increasingly attractive method within the field of drug development for its effici...
Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new m...
© 2019 Elsevier Ltd. All rights reserved.The discovery of macromolecular targets for bioactive agent...
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the infor...
(DREM³L) Drug REpurposing using Mechanistic Models of signal transduction and Machine LearningThe au...
(DREM³L) Drug REpurposing using Mechanistic Models of signal transduction and Machine LearningThe au...
Training data for the "Drug REpurposing using eXplainable Machine Learning and Mechanistic Models o...
This work is supported by grants SAF2017-88908-R from the Spanish Ministry of Economy and Competitiv...
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal trans...
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal trans...
(DRExM³L) Drug REpurposing using and eXplainable Machine Learning and Mechanistic Models of signal t...
In this work, we use an innovative methodology that combines mechanistic modeling of the signal tran...
Existing computational methods for drug repositioning either rely only on the gene expression respon...
Existing computational methods for drug repositioning either rely only on the gene expression respon...
Repurposing is an increasingly attractive method within the field of drug development for its effici...
Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new m...
© 2019 Elsevier Ltd. All rights reserved.The discovery of macromolecular targets for bioactive agent...
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the infor...
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