Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects-Reference-Cited by-同舟云学术

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Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

Published:2024-09 Issue: Volume:17 Page:100576
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Obaido George^ORCID,Mienye Ibomoiye Domor,Egbelowo Oluwaseun F.,Emmanuel Ikiomoye Douglas,Ogunleye Adeola,Ogbuokiri Blessing,Mienye Pere,Aruleba Kehinde

Publisher

Elsevier BV

Reference164 articles.

1. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods;Abeel;Bioinformatics,2010

2. Towards a model for enhancing ICT4 development and information security in healthcare system;Agbele,2015

3. SolPredictor: Predicting solubility with residual gated graph neural network;Ahmad;International Journal of Molecular Sciences,2024

4. Predicting pharmacokinetics of drugs using artificial intelligence tools: A systematic review;Ahmadi;European Journal of Drug Metabolism and Pharmacokinetics,2024

5. Quantitative methods for optimizing patient outcomes in liver transplantation;Al-Bahou;Liver Transplantation,2024

Cited by 1 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. A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras;Frontiers in Digital Health;2024-09-03

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