A PCA-based method for ancestral informative markers selection in structured populations

Science in China, Series C: Life Sciences

Volumn 52, Issue 10, 2009, Pages 972-976

  Zhang, Feng ^a,c   Zhang, Lei ^a,c   Deng, Hong Wen ^a,b,c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

^c UNIVERSITY OF MISSOURI KANSAS CITY SCHOOL OF MEDICINE   (United States)

Author keywords

Ancestral informative markers; Population structure; Principle component analysis

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; GENETIC MARKER; GENETICS; GENOTYPE; HUMAN; METHODOLOGY; POPULATION GENETICS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; GENETIC MARKERS; GENETICS, POPULATION; GENOTYPE; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

EID: 77749335597     PISSN: 10069305     EISSN: 18622798     Source Type: Journal    
DOI: 10.1007/s11427-009-0128-y     Document Type: Article

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