Comparison of species classification models of mass spectrometry data: Kernel discriminant analysis vs Random forest; a case study of Afrormosia (Pericopsis elata (Harms) Meeuwen)
View/ Open
Authors
Deklerck, V.
Finch, K.
Gasson, P.
Van den Bulcke, J.
Van Acker, J.
Beeckman, H.
Espinoza, E.
Discipline
Biological sciences
Agriculture, Forestry and Fisheries
Subject
Wood biology
Audience
Scientific
Date
2017Metadata
Show full item recordCitation
Deklerck, V.; Finch, K.; Gasson, P.; Van den Bulcke, J.; Van Acker, J.; Beeckman, H.; Espinoza, E. (2017). Comparison of species classification models of mass spectrometry data: Kernel discriminant analysis vs Random forest; a case study of Afrormosia (Pericopsis elata (Harms) Meeuwen). , Rapid Communications in Mass Spectrometry, Vol. 31(19), 1582-1588, DOI: 10.1002/rcm.7939.Identifiers
Type
Article
Peer-Review
Yes
Language
eng