Genetic classification of populations using supervised learning

There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case-control studies and quality control (when participants in a study ha...

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Veröffentlicht in:	PloS one 2011-05, Vol.6 (5), p.e14802-e14802
Hauptverfasser:	Bridges, Michael, Heron, Elizabeth A, O'Dushlaine, Colm, Segurado, Ricardo, Morris, Derek, Corvin, Aiden, Gill, Michael, Pinto, Carlos
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Artificial neural networks Automation Bipolar disorder Bulgaria Case-Control Studies Classification Computational Biology/Population Genetics Consortia Data analysis Diabetes Emotional disorders Entropy Epidemiology Genetic structure Genetics Genetics and Genomics/Complex Traits Genetics and Genomics/Genetics of Disease Genetics and Genomics/Population Genetics Genetics, Population Genome-wide association studies Genome-Wide Association Study Genomes Genomics Humans Hypotheses Laboratories Learning Nerve Net Neural networks Phase transitions Polymorphism, Single Nucleotide Population Population genetics Populations Principal Component Analysis Principal components analysis Psychiatry Quality control Quality management Schizophrenia Scotland Sensitivity Studies Supervised learning Support vector machines Thrombosis
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