HeritSeq: Heritability of Gene Expression for Next-Generation Sequencing
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 |
| 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 |
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