1964
DOI: 10.1007/bf02289694
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Nonmetric multidimensional scaling: A numerical method

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Cited by 4,092 publications
(1,953 citation statements)
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“…43 A Slatkin's linearized genetic distance matrix 51 was used for a graphical representation by means of an NM-MDS. 52 Because Val di Scalve stood out as a clear outlier in the first NM-MDS plotting, relegating the other populations in a cloud that was very hard to disentangle, this sample was subsequently excluded from NM-MDS and AMOVA computations.…”
Section: Analysis Of Population Structurementioning
confidence: 99%
“…43 A Slatkin's linearized genetic distance matrix 51 was used for a graphical representation by means of an NM-MDS. 52 Because Val di Scalve stood out as a clear outlier in the first NM-MDS plotting, relegating the other populations in a cloud that was very hard to disentangle, this sample was subsequently excluded from NM-MDS and AMOVA computations.…”
Section: Analysis Of Population Structurementioning
confidence: 99%
“…62 Analysis of population structure Genetic distances (F ST ) between populations were calculated assuming the Tamura-Nei model of nucleotide substitution. 63 The genetic distance matrix was graphically summarized by NM-MDS, 64 using the software STATISTICA. We used the AMOVA 32 to assess the apportionment of genetic variance between the following continental groups of populations: West Africa (Fulane, Igbo and Yoruba), East Africa (Hadza and Maasai), China, Europe (Russia and Northern Europe) and South America (Cayapa and Quechuas from Tayacaja and San Martín de Pangoa).…”
Section: Estimates Of Genetic Diversitymentioning
confidence: 99%
“…Pairwise genetic distances were calculated using the Jaccard coefficient (Jaccard 1908), based on which the data were processed by UPGMA (unweighted pair group method with arithmetic mean) method. Multidimensional scaling (Kruskal 1964) was also carried out in the program NTSYS-pc.…”
Section: Statistical Processing Of the Resultsmentioning
confidence: 99%