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GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms
BACKGROUND: Biological data has grown explosively with the advance of next-generation sequencing. However, annotating protein function with wet lab experiments is time-consuming. Fortunately, computational function prediction can help wet labs formulate biological hypotheses and prioritize experimen...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7672824/ https://ncbi.nlm.nih.gov/pubmed/33203348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03556-9 |
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