Show simple item record

Comparison of species classification models of mass spectrometry data: Kernel discriminant analysis vs Random forest; a case study of Afrormosia (Pericopsis elata (Harms) Meeuwen)

dc.contributor.authorDeklerck, V.
dc.contributor.authorFinch, K.
dc.contributor.authorGasson, P.
dc.contributor.authorVan den Bulcke, J.
dc.contributor.authorVan Acker, J.
dc.contributor.authorBeeckman, H.
dc.contributor.authorEspinoza, E.
dc.date2017
dc.date.accessioned2024-03-14T13:14:56Z
dc.date.available2024-03-14T13:14:56Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/11962
dc.languageeng
dc.titleComparison of species classification models of mass spectrometry data: Kernel discriminant analysis vs Random forest; a case study of Afrormosia (<EM>Pericopsis elata</EM> (Harms) Meeuwen)
dc.typeArticle
dc.subject.frascatiBiological sciences
dc.subject.frascatiAgriculture, Forestry and Fisheries
dc.audienceScientific
dc.subject.freeWood biology
dc.source.titleRapid Communications in Mass Spectrometry
dc.source.volume31(19)
dc.source.page1582-1588
Orfeo.peerreviewedYes
dc.identifier.doi10.1002/rcm.7939
dc.identifier.rmca5035


Files in this item

Thumbnail
Name:
Deklerck%20and%20al%202017%20- ...
Size:
503.2Kb
Format:
PDF
Description:
Published
View/Open

This item appears in the following Collection(s)

Show simple item record