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Statistical framework to analyze heritability of gene expression based on next-generation sequencing data and simulating sequencing reads. Variance partition coefficients (VPC) are computed using linear mixed effects and generalized linear mixed effects models. Compound Poisson and negative binomial models are included. Reference: Rudra, Pratyaydipta, et al. "Model based heritability scores for high-throughput sequencing data." BMC bioinformatics 18.1 (2017): 143.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.2.3) |
| Imports: | cplm, DESeq2, lme4, pbapply, tweedie, MASS, SummarizedExperiment |
| Published: | 2021-07-12 |
| DOI: | 10.32614/CRAN.package.HeritSeq |
| Author: | W. Jenny Shi [aut, cre], Pamela Russell [aut], Pratyaydipta Rudra [aut, cre], Brian Vestal [aut, cre], Katerina Kechris [aut], Laura Saba [aut] |
| Maintainer: | W. Jenny Shi <wjennyshi at gmail.com> |
| BugReports: | https://github.com/KechrisLab/HeritSeq/issues |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | HeritSeq results |
| Reference manual: | HeritSeq.pdf |
| Package source: | HeritSeq_1.0.2.tar.gz |
| Windows binaries: | r-devel: HeritSeq_1.0.2.zip, r-release: HeritSeq_1.0.2.zip, r-oldrel: HeritSeq_1.0.2.zip |
| macOS binaries: | r-release (arm64): HeritSeq_1.0.2.tgz, r-oldrel (arm64): HeritSeq_1.0.2.tgz, r-release (x86_64): HeritSeq_1.0.2.tgz, r-oldrel (x86_64): HeritSeq_1.0.2.tgz |
| Old sources: | HeritSeq archive |
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