Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases

DOI10.1214/07-SS026zbMath1196.62144arXiv0803.4065OpenAlexW2076593601MaRDI QIDQ975561

Yulan Liang, Arpad Kelemen

Publication date: 9 June 2010

Published in: Statistics Surveys (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.4065

zbMATH Keywords

high dimensional datasingle nucleotide polymorphismcomplex disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (3)

Sparse logistic principal components analysis for binary data ⋮ Sequential Markov coalescent algorithms for population models with demographic structure ⋮ Sequential support vector regression with embedded entropy for SNP selection and disease classification

Uses Software

• CLUSTAG
• HaploBlockFinder

Cites Work

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