Using Machine Learning Methods to Predict Experimental High Throughput Screening Data
Author:
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Application of artificial neural synapses in soft robots;AIP Advances;2024-05-01
2. Predictive Nanotoxicology;Machine Learning in Chemical Safety and Health;2022-10-21
3. High‐Throughput Experimentation and Computational Freeway Lanes for Accelerated Battery Electrolyte and Interface Development Research;Advanced Energy Materials;2021-11-09
4. An Approach of Anomaly Detection and Neural Network Classifiers to Measure Cellulolytic Activity;Combinatorial Chemistry & High Throughput Screening;2019-01-21
5. Sustainable Synthesis of Metal Oxide Nanostructures;Encyclopedia of Inorganic and Bioinorganic Chemistry;2016-09-15
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