Biologically-informed Representations for Integrating Heterogeneous Multi-Modal data for Deep Neural Networks in Drug Discovery
Biologically-informed Representations for Integrating Heterogeneous Multi-Modal data for Deep Neural Networks in Drug Discovery
药物发现中深度神经网络集成异构多模态数据的生物信息表示
批准号：
2114324
负责人：
金额：
$0.0万
依托单位：
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2018
资助国家：
英国
项目状态：
已结题
起止时间：
2018 至 --
中文摘要
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英文摘要
The overall goals of this project are two-fold: producing highly effective models for specific tasks within molecular interaction prediction, as well as methodological improvements for deep learning algorithms on graph-structured data. This will largely be focussed on methodological improvements relating to overcoming existing limitations in models for the purposes of molecular biology and drug design.
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