Description Usage Arguments Author(s) References Examples
View source: R/timeSeq.heatmap.R
Heatmap for the most significant NDPE genes.
1 | timeSeq.heatmap(timeSeq.obj,n)
|
timeSeq.obj |
an object returned by timeSeq function |
n |
the number of the most significant NPDE genes. It must be a positive integer. |
Fan Gao and Xiaoxiao Sun
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
1 2 3 4 | data(simulate.dt)
attach(simulate.dt)
model.fit <- timeSeq(data.count,group.label,gene.names,exon.level=FALSE,pvalue=TRUE)
timeSeq.heatmap(model.fit,n=10)
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