newBASiCS_Data {BASiCS} | R Documentation

## Creates a SingleCellExperiment object from a matrix of expression counts and experimental information about spike-in genes

### Description

`newBASiCS_Data` creates a `SingleCellExperiment` object from a matrix of expression counts and experimental information about spike-in genes.

### Usage

    newBASiCS_Data(
      Counts,
      Tech = rep(FALSE, nrow(Counts)),
      SpikeInfo = NULL,
      BatchInfo = NULL,
      SpikeType = "ERCC"
    )

### Arguments

`Counts` | Matrix of dimensions `q` times `n` whose elements contain the expression counts to be analyses (including biological and technical spike-in genes). Gene names must be stored as `rownames(Counts)`.
`Tech` | Logical vector of length `q`. If `Tech = FALSE` the gene is biological; otherwise the gene is spike-in. Defaul value: `Tech = rep(FALSE, nrow(Counts))`.
`SpikeInfo` | `data.frame` whose first and second columns contain the gene names assigned to the spike-in genes (they must match the ones in `rownames(Counts)`) and the associated input number of molecules, respectively. If `SpikeInfo = NULL`, only the horizontal integration implementation (no spikes) can be run. Default value: `SpikeInfo = NULL`.
`BatchInfo` | Vector of length `n` whose elements indicate batch information. Not required if a single batch is present on the data. Default value: `BatchInfo = NULL`.
`SpikeType` | Character to indicate what type of spike-ins are in use. Default value: `SpikeType = "ERCC"` (parameter is no longer used).

### Value

An object of class `SingleCellExperiment`.

### Author(s)

Catalina A. Vallejos cnvallej@uc.cl

Nils Eling eling@ebi.ac.uk

### See Also

`SingleCellExperiment`

[Package BASiCS version 2.6.0 Index]