Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data.

Ling, Ashley; Hay, El Hamidi; Aggrey, Samuel E; Rekaya, Romdhane

Ling, Ashley; Hay, El Hamidi; Aggrey, Samuel E; Rekaya, Romdhane.

Afiliação

Ling A; USDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA.
Hay EH; USDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA.
Aggrey SE; Department of Poultry Science, The University of Georgia, Athens, GA 30602, USA.
Rekaya R; Institute of Bioinformatics, The University of Georgia, Athens, GA 30602, USA.

Genes (Basel) ; 13(11)2022 11 11.

Article em En | MEDLINE | ID: mdl-36421775

Assuntos

Lógica Fuzzy; Genoma; Genótipo; Genômica; Polimorfismo de Nucleotídeo Único

Palavras-chave

SNP preselection; fuzzy inference; fuzzy logic; genomic prediction; high-density genotypes; sequence genotypes

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Lógica Fuzzy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma / Lógica Fuzzy Idioma: En Ano de publicação: 2022 Tipo de documento: Article