mxw010/LBL: Logistic and Quantitative Bayesian Lasso for identifying genetic association between common diseases and rare haplotypes
LBL uses Bayesian Lasso to detect rare haplotypes that are associated with common diseases. The current implementation considers dichotomous and quantitative traits. A future release will include survival traits. LBL is capable of handling different study designs: this version of the software is capable of handling independent cases and controls, case-parent trios and a mixture of both (provided that the family data is independent of the case-control data). LBL is able to handle population stratification for a quantitative trait. LBL uses algorithms from pre.hapassoc function from hapassoc package to obtain all possible haplotype pairs compatible with an indivdiual's set of genotypes.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Swati Biswas, Meng Wang, Xiaofei Zhou, Han Zhang, Shuang Xia, Yuan Zhang, Zilu Liu and Shili Lin |
| Maintainer | Shili Lin <shili@stat.osu.edu> |
| License | GPL-3 |
| Version | 0.9.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
