Self-organizing maps as a new tool for classification of plants at lower hierarchical levels

dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.contributorUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2022-04-28T18:56:16Z
dc.date.accessioned2022-12-20T00:49:06Z
dc.date.available2022-04-28T18:56:16Z
dc.date.available2022-12-20T00:49:06Z
dc.date.created2022-04-28T18:56:16Z
dc.date.issued2008-01-01
dc.identifierNatural Product Communications, v. 3, n. 10, p. 1723-1730, 2008.
dc.identifier1555-9475
dc.identifier1934-578X
dc.identifierhttp://hdl.handle.net/11449/219568
dc.identifier10.1177/1934578x0800301029
dc.identifier2-s2.0-77954132963
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5399697
dc.description.abstractA chemotaxonomic analysis is described of a database containing various types of compounds from the Heliantheae tribe (Asteraceae) using Self-Organizing Maps (SOM). The numbers of occurrences of 9 chemical classes in different taxa of the tribe were used as variables. The study shows that SOM applied to chemical data can contribute to differentiate genera, subtribes, and groups of subtribes (subtribe branches), as well as to tribal and subtribal classifications of Heliantheae, exhibiting a high hit percentage comparable to that of an expert performance, and in agreement with the previous tribe classification proposed by Stuessy.
dc.languageeng
dc.relationNatural Product Communications
dc.sourceScopus
dc.subjectAsteraceae
dc.subjectHeliantheae
dc.subjectSecondary metabolites
dc.subjectSelf-organizing maps
dc.titleSelf-organizing maps as a new tool for classification of plants at lower hierarchical levels
dc.typeArtículos de revistas


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