PRGPred: A platform for prediction of domains of resistance gene analogue (RGA) in Arecaceae developed by using machine learning algorithms

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dc.contributor.authorMathodiyil S. Manjula
dc.contributor.authorKaitheri E. Rachana
dc.contributor.authorSudalaimuthu Naganeeswaran
dc.contributor.authorNambisan Hemalatha
dc.contributor.authorAnitha Karun
dc.contributor.authorMuliyar Krishna Rajesh
dc.date.accessioned2018-06-16T04:55:24Z
dc.date.available2018-06-16T04:55:24Z
dc.date.issued2015
dc.identifier.citationJ. BioSci. Biotechnol. 2015, 4(3): 327-338.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/7236
dc.language.isoenen_US
dc.subjectRGAen_US
dc.subjectPRINTSen_US
dc.subjectSVMen_US
dc.subjectWEKAen_US
dc.subjectHMMERen_US
dc.subjectBLASTen_US
dc.titlePRGPred: A platform for prediction of domains of resistance gene analogue (RGA) in Arecaceae developed by using machine learning algorithmsen_US
dc.typeArticleen_US

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