Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps

Statistical Applications in Genetics and Molecular Biology

Volumn 11, Issue 1, 2020, Pages

  Silver, Matt ^a   Montana, Giovanni ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Alzheimer's disease; group lasso; GWAs; imaging genetics; pathways; penalised regression; quantitative traits

Indexed keywords

ALGORITHM; ALLELE; ALZHEIMER DISEASE; ARTICLE; BOOTSTRAPPING; CONTROLLED STUDY; GENETIC ASSOCIATION; GENETIC ASSOCIATION STUDY; GENOME; GENOTYPE; MATHEMATICAL COMPUTING; MILD COGNITIVE IMPAIRMENT; MONTE CARLO METHOD; NEUROIMAGING; PATHWAYS GROUP LASSO WITH ADAPTIVE WEIGHTS; PHENOTYPE; QUANTITATIVE TRAIT; SELECTION BIAS; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; SPARSE REGRESSION MODEL; STATISTICAL MODEL; BIOLOGICAL MODEL; GENETICS; HUMAN; QUANTITATIVE TRAIT LOCUS; REGRESSION ANALYSIS;

ALZHEIMER DISEASE; HUMANS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI; REGRESSION ANALYSIS;

MLCS; MLOWN;

EID: 84864868742     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1755     Document Type: Article

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