GLIDE: GPU-based linear regression for detection of epistasis

Human Heredity

Volumn 73, Issue 4, 2012, Pages 220-236

  Kam Thong, Tony ^a,c   Azencott, Chlo Agathe ^a   Cayton, Lawrence ^b   Ptz, Benno ^c   Altmann, Andr ^c   Karbalai, Nazanin ^c   Smann, Philipp G ^c   Schlkopf, Bernhard ^b   Mller Myhsok, Bertram ^c   Borgwardt, Karsten M ^a  

^a Machine Learning and Computational Biology Research Group   (Germany)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^c MAX PLANCK INSTITUTE OF PSYCHIATRY   (Germany)

Author keywords

Computational biology; Epistasis; Genome wide interaction analysis; Graphics processing units

Indexed keywords

ARTICLE; COMPUTER GRAPHICS; CONTROLLED STUDY; EPISTASIS; GENE MAPPING; GENETIC ANALYSIS; GENOTYPING TECHNIQUE; GLIDE; HIPPOCAMPUS; LINEAR REGRESSION ANALYSIS; PHENOTYPE;

BIPOLAR DISORDER; CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; EPISTASIS, GENETIC; GENETIC LOCI; GENETIC PREDISPOSITION TO DISEASE; GENETICS, POPULATION; GENOME-WIDE ASSOCIATION STUDY; HIPPOCAMPUS; HUMANS; LINEAR MODELS; ORGAN SIZE; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 84865844804     PISSN: 00015652     EISSN: 14230062     Source Type: Journal    
DOI: 10.1159/000341885     Document Type: Article

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