doc/Identify-Dynamic-Genes.R

In jaleesr/TrendCatcher_1.0.0: TrendCatcher: A Versitile R package for analyse longitudinal RNA-seq study

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library(TrendCatcher)

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example.file.path<-system.file("extdata", "Brain_DemoCountTable.csv", package = "TrendCatcher")
tb<-read.csv(example.file.path, row.names = 1)
head(tb)

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#  example.file.path<-system.file("extdata", "Brain_DemoCountTable.csv", package = "TrendCatcher")
#  
#  master.list<-run_TrendCatcher(count.table.path = example.file.path,
#  baseline.t = 0,
#  time.unit = "h",
#  min.low.count = 1,
#  para.core.n = NA,
#  dyn.p.thres = 0.05)

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demo.master.list.path<-system.file("extdata", "BrainMasterList.rda", package = "TrendCatcher")
load(demo.master.list.path)

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names(master.list)

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print(c(master.list$time.unit, master.list$baseline.t))

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master.list$t.arr

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master.list$Project.name

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head(master.list$raw.df)

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head(master.list$fitted.count)

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head(master.list$master.table)