timeSeq_1.0.4-package: Statistical Inference for Time Course RNA-Seq Data using a...
In timeSeq: Detecting Differentially Expressed Genes in Time Course RNA-Seq Data
Description
Details
Author(s)
References
Description
In this package, we propose a negative binomial mixed-effects (NBME) model to identify differentially expressed (DE) genes, including nonparallel differentially expressed (NPDE) and parallel differentially expressed (PDE) genes, in time course RNA-seq data.
Details
Package: timeSeq
Type: Package
Version: 1.0.4
Date: 2019-2-08
License: GPL-2 | GPL-3
Author(s)
Fan Gao and Xiaoxiao Sun
Maintainer: Fan Gao <fangaohz@gmail.com>
References
Sun, Xiaoxiao, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, and Ping Ma. "Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model." BMC Bioinformatics, 17(1):324, 2016.
Chong Gu. Model diagnostics for smoothing spline ANOVA models. Canadian Journal of Statistics, 32(4):347-358, 2004.
Chong Gu. Smoothing spline ANOVA models. Springer, second edition, 2013.
Chong Gu and Ping Ma. Optimal smoothing in nonparametric mixed-effect models. Annals of Statistics, pages 1357-1379, 2005a.
Wood (2001) mgcv:GAMs and Generalized Ridge Regression for R. R News 1(2):20-25
timeSeq documentation built on May 2, 2019, 3:07 a.m.
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Description Details Author(s) References
Description
In this package, we propose a negative binomial mixed-effects (NBME) model to identify differentially expressed (DE) genes, including nonparallel differentially expressed (NPDE) and parallel differentially expressed (PDE) genes, in time course RNA-seq data.
Details
| Package: | timeSeq |
| Type: | Package |
| Version: | 1.0.4 |
| Date: | 2019-2-08 |
| License: | GPL-2 | GPL-3 |
Author(s)
Fan Gao and Xiaoxiao Sun
Maintainer: Fan Gao <fangaohz@gmail.com>
References
Sun, Xiaoxiao, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, and Ping Ma. "Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model." BMC Bioinformatics, 17(1):324, 2016.
Chong Gu. Model diagnostics for smoothing spline ANOVA models. Canadian Journal of Statistics, 32(4):347-358, 2004.
Chong Gu. Smoothing spline ANOVA models. Springer, second edition, 2013.
Chong Gu and Ping Ma. Optimal smoothing in nonparametric mixed-effect models. Annals of Statistics, pages 1357-1379, 2005a.
Wood (2001) mgcv:GAMs and Generalized Ridge Regression for R. R News 1(2):20-25
R Package Documentation
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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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