all_CpGsite_bin_chr18: A simulation dataset of CpG sites.
In FocusPaka/SIMD: Statistical Inferences with MeDIP-seq Data (SIMD) to infer the methylation level for each CpG site
Description
Usage
Format
Source
References
Description
This data set gives 2000 CpG sites which include the chromosome of the
region, the start and the stop position of the CpG sites.
Usage
1
Format
A data.frame containing 2000 CpG sites.
Source
Zhang, B., Zhou, Y., et al. (2013). Functional DNA methylation
differences between tissues, cell types, and across individuals discovered
using the M&M algorithm. Genome Research. 23: 1522-1540.
References
Zhou Y. (2018). Methylation-level Inferences and Detection of Differential
Methylation with Medip-seq Data.
FocusPaka/SIMD documentation built on May 29, 2019, 10:57 a.m.
R Package Documentation
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Description Usage Format Source References
Description
This data set gives 2000 CpG sites which include the chromosome of the region, the start and the stop position of the CpG sites.
Usage
1 |
Format
A data.frame containing 2000 CpG sites.
Source
Zhang, B., Zhou, Y., et al. (2013). Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm. Genome Research. 23: 1522-1540.
References
Zhou Y. (2018). Methylation-level Inferences and Detection of Differential Methylation with Medip-seq Data.
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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