Machine learning for predicting lifespan-extending chemical compounds-Reference-Cited by-同舟云学术

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Machine learning for predicting lifespan-extending chemical compounds

Published:2017-07-18 Issue:7 Volume:9 Page:1721-1737
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Barardo Diogo G.¹,Newby Danielle²,Thornton Daniel¹,Ghafourian Taravat³,Pedro de Magalhães João¹,Freitas Alex A.⁴

Affiliation:

1. Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK

2. Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK

3. School of Life Sciences, University of Sussex, Falmer, Brighton, UK

4. School of Computing, University of Kent, Canterbury, UK

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

Cited by 32 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. Autophagy and machine learning: Unanswered questions;Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease;2024-08

2. Combinatorial interventions in aging;Nature Aging;2023-10-02

3. Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery;Cureus;2023-08-30

4. Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features;Aging;2023-07-13

5. Discovery of senolytics using machine learning;Nature Communications;2023-06-10

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