-
Notifications
You must be signed in to change notification settings - Fork 3
/
DESCRIPTION
29 lines (28 loc) · 1.2 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Package: HeritSeq
Title: Heritability of Gene Expression for Next-Generation Sequencing
Version: 1.0.1
Date: 2019-02-11
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 <[email protected]>
Description: 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.
BugReports: https://github.com/KechrisLab/HeritSeq/issues
Depends: R (>= 3.2.3)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: cplm, DESeq2, lme4, pbapply, tweedie, MASS,
SummarizedExperiment
Suggests: glmmADMB
Additional_repositories: http://glmmadmb.r-forge.r-project.org/repos
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-01-04 07:44:16 UTC; wenjennyshi