Rare Variant Association Testing by Adaptive Combination of P-values
Wan-Yu Lin,
Xiang-Yang Lou,
Guimin Gao and
Nianjun Liu
PLOS ONE, 2014, vol. 9, issue 1, 1-7
Abstract:
With the development of next-generation sequencing technology, there is a great demand for powerful statistical methods to detect rare variants (minor allele frequencies (MAFs)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085728 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 85728&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0085728
DOI: 10.1371/journal.pone.0085728
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().