Predicting functions of maize proteins using graph convolutional network

Predicting functions of maize proteins using graph convolutional network

Abstract Background Maize (Zea mays ssp. mays L.) is the most widely grown and yield crop in the world, as well as an important model organism for fundamental research of the function of genes. The functions of Maize proteins are annotated using the Gene Ontology (GO), which has more than 40000 term...

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Bibliographic Details
Main Authors: Guangjie Zhou, Jun Wang, Xiangliang Zhang, Maozu Guo, Guoxian Yu
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Bioinformatics
Subjects:
Gene ontology
GO terms
Maize
Protein function prediction
Graph convolutional network
Convolutional neural network
Online Access:https://doi.org/10.1186/s12859-020-03745-6

Internet

https://doi.org/10.1186/s12859-020-03745-6

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