bs_dense: Simulated Methylation Data with B-spline Effects in Dense...
In cxystat/AFb: B-spline Based Adaptive Fisher Method
Description
A simulated dataset containing 500 subjects and 100 methylation sites.
Methylation effects are smoothed by B-spline basis functions.
20% of the basis functions are simulated to be causal/associated. Effect
strengths are randomly sampled from U(-0.05, 0.05) distribution.
Usage
1
Format
A list object.
- trait
A vector of length 500 containing disease labels
(250 cases and 250 controls).
- methyl
A 500 by 100 matrix containing methylation levels. Each
row represents the methylation profile for one subject. Each
element of the matrix denotes BS-seq methylation level at a CpG site.
- pos
Locations for CpG sites (in base pairs).
cxystat/AFb documentation built on June 17, 2021, 7:30 p.m.
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Description
A simulated dataset containing 500 subjects and 100 methylation sites. Methylation effects are smoothed by B-spline basis functions. 20% of the basis functions are simulated to be causal/associated. Effect strengths are randomly sampled from U(-0.05, 0.05) distribution.
Usage
1 |
Format
A list object.
- trait
A vector of length 500 containing disease labels (250 cases and 250 controls).
- methyl
A 500 by 100 matrix containing methylation levels. Each row represents the methylation profile for one subject. Each element of the matrix denotes BS-seq methylation level at a CpG site.
- pos
Locations for CpG sites (in base pairs).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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