Using Machine Learning Methods to Predict Experimental High Throughput Screening Data

Author:

Mballo Cherif,Makarenkov Vladimir

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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