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AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
Antioxidant proteins play important roles in countering oxidative damage in organisms. Because it is time-consuming and has a high cost, the accurate identification of antioxidant proteins using biological experiments is a challenging task. For these reasons, we proposed a model using machine-learni...
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| I publikationen: | Front Bioeng Biotechnol |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Frontiers Media S.A.
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6759716/ https://ncbi.nlm.nih.gov/pubmed/31620433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2019.00224 |
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