A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets

The drug discovery and development process is a long and expensive one, costing over 1 billion USD on average per drug and taking 10-15 years. To reduce the high levels of attrition throughout the process, there has been a growing interest in applying machine learning methodologies to various stages...

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Cheng, Ye, Rowan Swiers, Bonner, Stephen, Barrett, Ian
Format:	Artikel
Sprache:	eng
Schlagworte:	Clinical outcomes Computer Science - Learning Factorization Genes Graph representations Graphical representations Knowledge representation Machine learning Mathematical analysis Neural networks Quantitative Biology - Quantitative Methods Target recognition Tensors
Online-Zugang:	Volltext
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