Large-scale multiple testing in genome-wide association studies via region-specific hidden Markov models
21
lượt xem 1
download
lượt xem 1
download
Download
Vui lòng tải xuống để xem tài liệu đầy đủ
Identifying genetic variants associated with complex human diseases is a great challenge in genome-wide association studies (GWAS). Single nucleotide polymorphisms (SNPs) arising from genetic background are often dependent. The existing methods, i.e., local index of significance (LIS) and pooled local index of significance (PLIS), were both proposed for modeling SNP dependence and assumed that the whole chromosome follows a hidden Markov model (HMM).
Chủ đề:
Bình luận(0) Đăng nhập để gửi bình luận!
CÓ THỂ BẠN MUỐN DOWNLOAD