Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method

Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method

Determining environmental chemical carcinogenicity is urgently needed as humans are increasingly exposed to these chemicals. In this study, we developed a hybrid neural network (HNN) method called HNN-Cancer to predict potential carcinogens of real-life chemicals. The HNN-Cancer included a new SMILE...

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Bibliographic Details
Main Authors: Sarita Limbu, Sivanesan Dakshanamurthy
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
chemical carcinogens
machine learning
deep learning neural network
hybrid neural network
convolution neural network
fast forward neural network
Online Access:https://www.mdpi.com/1424-8220/22/21/8185

Internet

https://www.mdpi.com/1424-8220/22/21/8185

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