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Predicting functions of maize proteins using graph convolutional network
2020
BMC Bioinformatics
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 terms and organizes GO terms in a direct acyclic graph (DAG). It is a huge challenge to accurately annotate relevant GO terms to a Maize protein from such a large number of candidate GO terms. Some deep learning models have
doi:10.1186/s12859-020-03745-6
pmid:33323113
fatcat:sueaa46xlrbq7f7u3earyre5km