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Algorithms for large-scale genotyping microarrays
Author(s) -
Weimin Liu,
Xiaojun Di,
Geoffrey Yang,
Hajime Matsuzaki,
Jing Huang,
Rui Mei,
Thomas B. Ryder,
Teresa Webster,
Shoulian Dong,
Guoying Liu,
Keith Jones,
Giulia C. Kennedy,
David Kulp
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg332
Subject(s) - genotyping , dna microarray , single nucleotide polymorphism , computational biology , computer science , genetics , data mining , biology , genotype , gene , gene expression
Analysis of many thousands of single nucleotide polymorphisms (SNPs) across whole genome is crucial to efficiently map disease genes and understanding susceptibility to diseases, drug efficacy and side effects for different populations and individuals. High density oligonucleotide microarrays provide the possibility for such analysis with reasonable cost. Such analysis requires accurate, reliable methods for feature extraction, classification, statistical modeling and filtering.

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