Toxicity Detection Methodology of Adverse Outcome Pathways using Physicochemical Properties and Machine Learning Approaches-Reference-Cited by-同舟云学术

Toxicity Detection Methodology of Adverse Outcome Pathways using Physicochemical Properties and Machine Learning Approaches

Published:2023-05-26 Issue: Volume: Page:
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Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

Gupta Vishan Kumar¹,Gupta Avdhesh²,Singh Mukesh Kumar²,Gupta Ashutosh¹,Tomar Ankit³

Affiliation:

1. Sir Padampat Singhania University,Department of CSE,Udaipur,Rajasthan,India

2. Ajay Kumar Garg Engineering College,Department of Information Technology,Ghaziabad,UP,India

3. Graphic Era Deemed to be University,Dapartment of CSE,Dehradun,UK, India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170360.pdf?arnumber=10170360

Reference17 articles.

1. Formation of mechanistic categories and local models to facilitate the prediction of toxicity;cronin;Lecture held at the 7th World congress in Rome ALTEX,2009

2. Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds;neagu,2013

3. Neural networks for structure-activity relationship problems;duch;Proceedings of the 5th International Conference on Neural Networks and Soft Computing,2000

4. Ensemble technique for toxicity prediction of small drug molecules of the antioxidant response element signalling pathway;gupta;Computer Journal,2021

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