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Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0155290
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dc.titleSVM-prot 2016: A web-server for machine learning prediction of protein functional families from sequence irrespective of similarity
dc.contributor.authorLi Y.H.
dc.contributor.authorXu J.Y.
dc.contributor.authorTao L.
dc.contributor.authorLi X.F.
dc.contributor.authorLi S.
dc.contributor.authorZeng X.
dc.contributor.authorChen S.Y.
dc.contributor.authorZhang P.
dc.contributor.authorQin C.
dc.contributor.authorZhang C.
dc.contributor.authorChen Z.
dc.contributor.authorZhu F.
dc.contributor.authorChen Y.Z.
dc.date.accessioned2018-05-30T07:08:40Z
dc.date.available2018-05-30T07:08:40Z
dc.date.issued2016
dc.identifier.citationLi Y.H., Xu J.Y., Tao L., Li X.F., Li S., Zeng X., Chen S.Y., Zhang P., Qin C., Zhang C., Chen Z., Zhu F., Chen Y.Z. (2016). SVM-prot 2016: A web-server for machine learning prediction of protein functional families from sequence irrespective of similarity. PLoS ONE 11 (8) : e0155290. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0155290
dc.identifier.issn19326203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/142664
dc.publisherPublic Library of Science (PLoS)
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.description.doi10.1371/journal.pone.0155290
dc.description.sourcetitlePLoS ONE
dc.description.volume11
dc.description.issue8
dc.description.pagee0155290
dc.identifier.isiut000381471100002
dc.published.statepublished
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