earlyDETest {tradeSeq} | R Documentation

## Perform test of early differences between lineages

### Description

Perform test of differential expression patterns between lineages in a user-defined region based on the knots of the smoothers.

### Usage

    earlyDETest(models, ...)

    ## S4 method for signature 'SingleCellExperiment'
    earlyDETest(
      models,
      global = TRUE,
      pairwise = FALSE,
      knots = NULL,
      nPoints = 2 * nknots(models),
      l2fc = 0,
      eigenThresh = 0.01
    )

    ## S4 method for signature 'list'
    earlyDETest(
      models,
      global = TRUE,
      pairwise = FALSE,
      knots = NULL,
      nPoints = 2 * nknots(models),
      l2fc = 0,
      eigenThresh = 0.01
    )

### Arguments

`models` | The fitted GAMs, typically the output from `fitGAM`.
`...` | parameters including:
`global` | If TRUE, test for all pairwise comparisons simultaneously.
`pairwise` | If TRUE, test for all pairwise comparisons independently.
`knots` | A vector of length 2 specifying the knots at the start and end of the region of interest.
`nPoints` | The number of points to be compared between lineages. Defaults to twice the number of knots
`l2fc` | The log2 fold change threshold to test against. Note, that this will affect both the global test and the pairwise comparisons.
`eigenThresh` | Eigenvalue threshold for inverting the variance-covariance matrix of the coefficients to use for calculating the Wald test statistics. Lower values are more lenient to adding more information but also decrease computational stability. This argument should in general not be changed by the user but is provided for back-compatability. Set to `1e-8` to reproduce results of older version of 'tradeSeq'.

### Details

To help the user in choosing which knots to use when defining the branching, the `plotGeneCount` function has a models optional parameter that can be used to visualize where the knots are.

### Value

A matrix with the wald statistic, the number of df and the p-value associated with each gene for all the tests performed. Also, for each possible pairwise comparision, the observed log fold changes. If the testing procedure was unsuccessful, the procedure will return NA test statistics, fold changes and p-values.

### Examples

    data(gamList, package = "tradeSeq")
    earlyDETest(gamList, knots = c(1, 2), global = TRUE, pairwise = TRUE)

[Package tradeSeq version 1.8.0 Index]