| SCseq | R Documentation |
The SCseq class is the central object storing all information generated during cell type identification with the RaceID3 algorithm. It comprises a number of slots for a variety of objects.
object |
An SCseq object. |
expdataThe raw expression data matrix with cells as columns and genes as rows in sparse matrix format.
ndataFiltered data with expression normalized to one for each cell.
noiseMatrix with local gene expression noise estimates (used for VarID analysis)
countsVector with total transcript counts for each cell in ndata remaining after filtering.
genesVector with gene names of all genes in ndata remaining after filtering.
dimRedlist object object storing information on a feature matrix obtained by dimensional reduction, batch effect correction etc.
Component x stores the actual feature matrix.
distancesdistance (or dis-similarity) matrix computed by RaceID3.
imputedlist with two matrices computed for imputing gene expression. The first matrix nn contains the cell indices of the knn nearest neighbours,
the second matrix contains the probabilities at which each cell contributes to thye imputed gene expression value for the cell correponding to the columns.
tsnedata.frame with coordinates of two-dimensional tsne layout computed by RaceID3.
frdata.frame with coordinates of two-dimensional Fruchterman-Rheingold graphlayout computed by RaceID3.
umapdata.frame with coordinates of two-dimensional umap representation computed by RaceID3.
clusterlist storing information on the initial clustering step of the RaceID3 algorithm
backgroundlist storing the polynomial fit for the background model of gene expression variability computed by RaceID3, which is used for outlier identification.
outlist storing information on outlier cells used for the prediction of rare cell types by RaceID3
cpartvector containing the final clustering (i.e. cell type) partition computed by RaceID3
fcolvector contaning the colour scheme for the RaceID3 clusters
medoidsvector containing the cell ids for th cluster medoids
filterparlist containing the parameters used for cell and gene filterung
clusterparlist containing the parameters used for clustering
outlierparlist containing the parameters used for outlier identification
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