sCVparams-class | R Documentation |
An S4 class storing parameters used in the sCVdata class and methods. Access
this object from the containing sCVdata
object with
Param
. Slots are accessed using
Param(sCVdata,slotName)
assayType
A character vector representing the assay slot in which the
expression data is stored in the input object. For SingleCellExperiment
objects, this is often "logcounts". This is not required for Seurat v1 or
v2 objects (set to ""). For Seurat v3 objects, this is often "RNA".
Optionally, you can specify the Seurat v3 assay slot to use (i.e. "data" or
"counts") as the second element of this character vector. For example,
assayType = c("SCT","counts"). See getExpr
for details.
DRforClust
A length-one character vector representing the
dimensionality reduction method used as the input for clustering. This is
commonly PCA, and should correspond to the slot name of the cell embedding
in your input data - either the type
argument in
reducedDim(x,type)
or the
reduction.type
argument in
GetDimReduction(object,reduction.type)
(v2) or
reduction
in Embeddings(object,reduction)
.
exponent
A length-one numeric vector representing the base of the
log-normalized gene expression data to be processed. Generally gene
expression data is transformed into log2 space when normalizing (set this
to 2), though Seurat
uses the natural log (set this to exp(1)).
pseudocount
A length-one numeric vector representing the pseudocount added to the data during log-normalization to avoid log(0) errors. Generally this is 1.
DRthresh
A length-one numeric vector between 0 and 1 representing the detection rate threshold for inclusion of a gene in the differential expression testing. A gene will be included if it is detected in at least this proportion of cells in at least one of the clusters being compared. Commonly set to 0.1.
sCVdata
for containing class.
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