Assay-class: The Assay Class
In atakanekiz/Seurat3.0: Tools for Single Cell Genomics
Description
The Assay object is the basic unit of Seurat; each Assay stores raw, normalized, and scaled data
as well as cluster information, variable features, and any other assay-specific metadata.
Assays should contain single cell expression data such as RNA-seq, protein, or imputed expression
data.
Slots
countsUnnormalized data such as raw counts or TPMs
dataNormalized expression data
scale.dataScaled expression data
keyKey for the Assay
var.featuresVector of features exhibiting high variance across single cells
meta.featuresFeature-level metadata
miscUtility slot for storing additional data associated with the assay
atakanekiz/Seurat3.0 documentation built on May 26, 2019, 2:33 a.m.
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Description
The Assay object is the basic unit of Seurat; each Assay stores raw, normalized, and scaled data as well as cluster information, variable features, and any other assay-specific metadata. Assays should contain single cell expression data such as RNA-seq, protein, or imputed expression data.
Slots
countsUnnormalized data such as raw counts or TPMs
dataNormalized expression data
scale.dataScaled expression data
keyKey for the Assay
var.featuresVector of features exhibiting high variance across single cells
meta.featuresFeature-level metadata
miscUtility slot for storing additional data associated with the assay
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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