Description Usage Arguments Value Author(s) Examples
Parameter estimation of quasi-binomial models.
1 2 3 4 5 6 7 8 9 10 |
object |
A 'SummarizedExperiment' instance generated with the SummarizedExperiment function of the SummarizedExperiment package. In the assay slot, provide the transcript-level expression counts as an ordinary 'matrix', 'DataFrame' a 'sparseMatrix' or a 'DelayedMatrix'. The 'rowData' slot must be a 'DataFrame' object describing the rows, which must contain a column 'isoform_id' with the row names of the expression matrix and a column 'gene_id' with the corresponding gene identifiers of each transcript. 'colData' is a 'DataFrame' describing the samples or cells in the experiment. Finally, specify the experimental design as a formula in the metadata slot. This formula must be based on the colData. See the documentation examples and the vignette for more details. |
... |
parameters including: |
formula |
Model formula. The model is built based on the covariates in the data object. |
parallel |
Logical, defaults to FALSE. Set to TRUE if you want to parallellize the fitting procedure. |
BPPARAM |
object of class |
verbose |
Logical, should progress be printed? |
An updated 'SummarizedExperiment' instance. The instance now includes a new list of models ("fitDTUModels") in its rowData slot, which can be accessed by rowData(object)[["fitDTUModels"]].
Jeroen Gilis
1 2 3 4 5 6 7 | data(sumExp_example, package = "satuRn") # testDTU
sumExp <- fitDTU(
object = sumExp_example,
formula = ~0+group,
parallel = FALSE,
BPPARAM = BiocParallel::bpparam(),
verbose = TRUE)
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