SCseq: The SCseq Class

Description

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.

validity function for SCceq

Arguments

object

An SCseq object.

Slots

expdata: The raw expression data matrix with cells as columns and genes as rows in sparse matrix format.

ndata

Filtered data with expression normalized to one for each cell.

counts

Vector with total transcript counts for each cell in ndata remaining after filtering.

genes

Vector with gene names of all genes in ndata remaining after filtering.

dimRed

list object object storing information on a feature matrix obtained by dimensional reduction, batch effect correction etc. Component x stores the actual feature matrix.

distances

distance (or dis-similarity) matrix computed by RaceID3.

imputed

list 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.

tsne

data.frame with coordinates of two-dimensional tsne layout computed by RaceID3.

fr

data.frame with coordinates of two-dimensional Fruchterman-Rheingold graphlayout computed by RaceID3.

cluster

list storing information on the initial clustering step of the RaceID3 algorithm

background

list storing the polynomial fit for the background model of gene expression variability computed by RaceID3, which is used for outlier identification.

out

list storing information on outlier cells used for the prediction of rare cell types by RaceID3

cpart

vector containing the final clustering (i.e. cell type) partition computed by RaceID3

fcol

vector contaning the colour scheme for the RaceID3 clusters

medoids

vector containing the cell ids for th cluster medoids

filterpar

list containing the parameters used for cell and gene filterung

clusterpar

list containing the parameters used for clustering

outlierpar

list containing the parameters used for outlier identification