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SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity
Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods. Our SVM-Prot web-server employed a machine learning method for predicting protein functional f...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4985167/ https://ncbi.nlm.nih.gov/pubmed/27525735 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0155290 |
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