Python programs, r-scripts and input data for the five continuous geographic assignment methods.

Python programs, r-scripts and input data for the five continuous geographic assignment methods.

<p>Python programs, r-scripts and input data for the five continuous geographic assignment methods.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Bernd Degen (3162309) (author)
مؤلفون آخرون:	Yulai Yanbaev (3162306) (author), Niels A. Müller (21499683) (author)
منشور في:	2025
الموضوعات:	Genetics Evolutionary Biology Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified right seed source quercus robur </ matérn kernel function legally harvested timber highlight future applications forest field trials fagus sylvatica </ second dataset consists nearest neighbour method machine learning techniques genetic variation across detected 35 individuals continuous genetic assignment genetic assignment approaches div >< p distance seed transfer caused historical long assigning test samples oak data gpr oak data historical human deep learning best method beech dataset actually continuous across europe 27 individuals beech data relative error reconstruct human predicted locations predefined groups origin tracking mostly discrete median distances median distance main limitation geographic origin geographic distance genomic prediction ensure use dl methods discrete groups 76 km 55 km 381 snps 278 km 263 km 18 groups 10 groups
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