Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data
Gene Expression Barplot
Baseline gene expression variability
Differential Gene Expression between Links
Function for calculating an aggregated dispersion parameter
Function for calculating total variance from VarID fit
Function for calculating the total variance fit
Dimensional Reduction by PCA or ICA
Extract Cells on Differentiation Trajectory
Function for pruning k-nearest neighborhoods based on neighborhood ove...
Inference of differentially expressed genes in a cluster
Clustering of single-cell transcriptome data
Plotting a Heatmap of the Distance Matrix
Computing a distance matrix for cell type inference
Compute transcriptome entropy of each cell
Computation of a two dimensional Fruchterman-Rheingold representation
Function for computing local gene expression averages
Computes Medoids from a Clustering Partition
Function for computing local gene expression variability
Computing P-values for Link Significance
Compute StemID2 score
Function for fitting a negative binomial noise model of technical and ...
Computation of a two dimensional t-SNE representation
Computation of a two dimensional umap representation
Function for regressing out the mean-variance dependence. This functio...
Function to create a knn matrix
Function for differential expression analysis
Compute Expression Differences between Clusters
Function for extracting genes with elevated variability in a cluster
Function for extracting genes with differential biological variability...
Function for filtering count data
Data filtering
Inference of outlier cells and final clustering
Function for computing a background model of gene expression variabili...
Fitting a Gamma distribution to global cell-to-cell variability
Second order polynomial fit of mean-variance dependence This function ...
Function for fitting a negative binomial noise model of technical and ...
Function for fitting a negative binomial noise model of technical and ...
Dotplot of gene expression across clusters or samples
Function for extracting a filtered expression matrix from a RaceID
`...
Extracting filtered expression data
Function for filtering count data
Extract all genes for a module in a FateID self-orgaizing map
Extract Projections of all Cells from a Cluster
Function for infering clustering of the pruned k nearest neighbour gra...
Imputed expression matrix
Function for inspecting pruned k-nearest neighbourhoods
Inference of a Lineage Graph
The Ltree Class
Function for extracting genes maximal variability
Function for extracting genes maximal variability
Function for computing a fit to the baseline of gene expression variab...
Boxplots for features across clusters
Plot Background Model
Function for plottinhg the background model of gene expression variabi...
Barplot of differentially expressed genes
Function for plotting differentially expressed genes
Function for plotting differentially variable genes
Plotting the Saturation of Explained Variance
Histogram of Cell-to-Cell Distances in Real versus Embedded Space
Highlighting gene expression in a dimensional reduction representation
Noise-expression scatter plot
Highlighting feature values in a dimensional reduction representation
StemID2 Lineage Graph
Plot Jaccard Similarities
Plot labels in a dimensional reduction representation
Heatmap of Link P-values
Heatmap of Link Scores
Plotting a dimensional reduction representation
Plotting a Heatmap of Marker Gene Expression
Plot of Mean-Variance dependence and various fits
Function for plotting the baseline model of gene expression variabilit...
Plot Outlier Probabilities
Function to plot the selected number of principal components
Function for plotting the variance of Pearson residuals
Plotting function for posterior checks
Plotting pseudo-time in dimensional reduction representation
Scatter plot of two noise-related quantaties of local pruned k-nearest...
Plotting noise-related quantaties of local pruned k-nearest neighbourh...
Function for plotting negative binomial regression
Plot Saturation of Within-Cluster Dispersion
Plot Sensitivity
Plot Cluster Silhouette
Minimum Spanning Tree of RaceID3 clusters
Plotting groups as different symbols in a dimensional reduction repres...
Function for plotting transition probabilities between clusters
Plotting noise dependence on total UMI count
Posterior probability
Prior function for maximum a posterior inference
Compute Cell Projections for Randomized Background Distribution
Compute transcriptome entropy of each cell
Enrichment of cells on inter-cluster links
Function inferring a pruned knn matrix
Extract pseudo-time order of cells along a trajectory
Noise-related quantaties of local pruned k-nearest neighbourhoods
Identification of Cell Types, Inference of Lineage Trees, and Predicti...
Simple function using Rcpp
Random Forests-based Reclassification
The SCseq Class
Converting a Seurat object to a RaceID/VarID object
Posterior check of the model
Function for the computation of transition probabilities between clust...
Function for updating a RaceID SCseq object with VarID results
Linear Regression of Sources of Variability
Violin plot of marker gene expression or noise
Application of 'RaceID' allows inference of cell types and prediction of lineage trees by the 'StemID2' algorithm (Herman, J.S., Sagar, Grun D. (2018) <DOI:10.1038/nmeth.4662>). 'VarID2' is part of this package and allows quantification of biological gene expression noise at single-cell resolution (Rosales-Alvarez, R.E., Rettkowski, J., Herman, J.S., Dumbovic, G., Cabezas-Wallscheid, N., Grun, D. (2023) <DOI:10.1186/s13059-023-02974-1>).