Kernel methods for large-scale genomic data analysis

Briefings in Bioinformatics

Volumn 16, Issue 2, 2015, Pages 183-192

  Wang, Xuefeng ^a,b   Xing, Eric P ^c   Schaid, Daniel J ^d  

^a STONY BROOK UNIVERSITY   (United States)

^b SBU   (United States)

^c Carnegie Mellon University   (United States)

^d MAYO CLINIC   (United States)

Author keywords

Association test; Kernel logistic regression; Kernel methods; Lasso; Machine learning; Prediction; Structured mapping

Indexed keywords

BIOLOGY; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMAN; MACHINE LEARNING; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; LOGISTIC MODELS; MACHINE LEARNING; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; SUPPORT VECTOR MACHINE;

EID: 84925409378     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbu024     Document Type: Article

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