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Predicting functions of maize proteins using graph convolutional network
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 terms and or...
Shranjeno v:
| izdano v: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7739465/ https://ncbi.nlm.nih.gov/pubmed/33323113 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03745-6 |
| Oznake: |
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