Special section: Statistical methods for next-generation gene sequencing data
Applications
2012-06-29 v1
Abstract
This issue includes six articles that develop and apply statistical methods for the analysis of gene sequencing data of different types. The methods are tailored to the different data types and, in each case, lead to biological insights not readily identified without the use of statistical methods. A common feature in all articles is the development of methods for analyzing simultaneously data of different types (e.g., genotype, phenotype, pedigree, etc.); that is, using data of one type to inform the analysis of data from another type.
Cite
@article{arxiv.1206.6617,
title = {Special section: Statistical methods for next-generation gene sequencing data},
author = {Karen Kafadar},
journal= {arXiv preprint arXiv:1206.6617},
year = {2012}
}
Comments
Published in at http://dx.doi.org/10.1214/12-AOAS558 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)