Paper reading (三十五)：Neural-symbolic machine learning for retrosynthesis and reaction prediction

时间 2020-12-23

标签 reaction prediction retrosynthesis deep neural networks 繁體版

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论文题目：Neural-symbolic machine learning for retrosynthesis and reaction prediction scholar 引用：99 页数：9 发表时间：2017.01 发表刊物：Chemistry – A European Journal 作者：Marwin H. S. Segler and Mark P. Waller 摘要： React

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1. Paper reading (五十)：Supervised prediction of drug-induced nephrotoxicity
2. Paper reading (四十四)： Machine learning methods for metabolic pathway prediction
3. Paper reading (三十)：A review on machine learning principles for multi-view biological data integratio
4. Paper reading (七十五)：I sense overeating: Motif-based machine learning framework to detect overeating
5. Paper reading (四十五)：DT supported substructure prediction of metabolites from GC-MS profiles
6. #Paper reading#DeepInf: Social Influence Prediction with Deep Learning
7. Paper reading (八十九)：A unified conceptual framework for prediction and control of microbiomes
8. Paper reading (四十)：Deep Learning for Drug-Induced Liver Injury
9. Paper reading (三十一)：Personalized Nutrition by Prediction of Glycemic Responses（overview）
10. #Paper Reading# Field-aware factorization machines for CTR prediction

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