Deep learning model for classification and bioactivity prediction of essential oil-producing plants from Egypt.

ABSTRACT: Reliance on deep learning techniques has become an important trend in several science domains including biological science, due to its proven efficiency in manipulating big data that are often characterized by their non-linear processes and complicated relationships. In this study, Convolutional Neural Networks (CNN) has been recruited, as one of the deep learning techniques, to be used in classifying and predicting the biological activities of the essential oil-producing plant/s through their chemical compositions. The model is established based on the available chemical composition's information of a set of endemic Egyptian plants and their biological activities. Another type of machine learning algorithms, Multiclass Neural Network (MNN), has been applied on the same Essential Oils (EO)

SUBMITTER: El-Attar NE 

PROVIDER: S-EPMC7721748 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature