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RaceID (version 0.1.3)

Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data

Description

Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grn D. (2018) .

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Version

Install

install.packages('RaceID')

Monthly Downloads

358

Version

0.1.3

License

GPL-3

Maintainer

Dominic Grc3<bc>n

Last Published

January 22nd, 2019

Functions in RaceID (0.1.3)

clustheatmap

Plotting a Heatmap of the Distance Matrix
compscore

Compute StemID2 score
comptsne

Computation of a two dimensional t-SNE representation
compdist

Computing a distance matrix for cell type inference
imputeexp

Imputed expression matrix
compfr

Computation of a two dimensional Fruchterman-Rheingold representation
compentropy

Compute transcriptome entropy of each cell
plotdistanceratio

Histogram of Cell-to-Cell Distances in Real versus Embedded Space
clustexp

Clustering of single-cell transcriptome data
intestinalData

Single-cell transcriptome data of intestinal epithelial cells
plotdiffgenesnb

Function for plotting differentially expressed genes
findoutliers

Inference of outlier cells and final clustering
plotmap

Plotting a t-SNE map
lineagegraph

Inference of a Lineage Graph
plotdimsat

Plotting the Saturation of Explained Variance
plotlinkscore

Heatmap of Link Scores
plotspantree

Minimum Spanning Tree of RaceID3 clusters
plotgraph

StemID2 Lineage Graph
plotjaccard

Plot Jaccard Similarities
intestinalDataSmall

Single-cell transcriptome data of intestinal epithelial cells
plotexpmap

Highlighting gene expression in the t-SNE map
compmedoids

Computes Medoids from a Clustering Partition
diffexpnb

Function for differential expression analysis
Ltree-class

The Ltree Class
plotsensitivity

Plot Sensitivity
diffgenes

Compute Expression Differences between Clusters
plotsilhouette

Plot Cluster Silhouette
plotdiffgenes

Barplot of differentially expressed genes
plotbackground

Plot Background Model
comppvalue

Computing P-values for Link Significance
projback

Compute Cell Projections for Randomized Background Distribution
plotlabelsmap

Plot labels in the t-SNE map
plotsymbolsmap

Plotting groups as different symbols in the t-SNE map
plotlinkpv

Heatmap of Link P-values
getfdata

Extracting filtered expression data
projcells

Compute transcriptome entropy of each cell
projenrichment

Enrichment of cells on inter-cluster links
rfcorrect

Random Forests-based Reclassification
getproj

Extract Projections of all Cells from a Cluster
varRegression

Linear Regression of Sources of Variability
plotmarkergenes

Plotting a Heatmap of Marker Gene Expression
plotoutlierprobs

Plot Outlier Probabilities
plotprojections

Two-Dimensional Map of Cell Projections
plotsaturation

Plot Saturation of Within-Cluster Dispersion
CCcorrect

Dimensional Reduction by PCA or ICA
SCseq

The SCseq Class
barplotgene

Gene Expression Barplot
filterdata

Data filtering
branchcells

Differential Gene Expression between Links
clustdiffgenes

Inference of differentially expressed genes in a cluster
cellsfromtree

Extract Cells on Differentiation Trajectory