Rdocumentation
powered by
Learn R Programming
FateID (version 0.2.2)
Quantification of Fate Bias in Multipotent Progenitors
Description
Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Gr
n D. (2018)
.
Copy Link
Link to current version
Version
Version
0.2.2
0.2.1
0.2.0
0.1.9
0.1.8
0.1.7
0.1.6
0.1.5
0.1.4
0.1.3
0.1.2
0.1.1
0.1.0
0.0.9
Install
install.packages('FateID')
Monthly Downloads
288
Version
0.2.2
License
GPL-3
Maintainer
Dominic Grc3<bc>n
Last Published
June 14th, 2022
Functions in FateID (0.2.2)
Search all functions
diffexpnb
Function for differential expression analysis
plotexpressionProfile
Plotting smoothed pseudo-temporal expression profiles for groups of genes
plotexpression
Plotting of pseudo-temporal expression profiles
procsom
Processing of self-organizing maps for pseudo-temporal expression profiles
reclassify
Reclassification of cells
prcurve
Computation of a principal curve for a given dimensional reduction representation
plotheatmap
Heatmap of expression profiles
plotFateMap
Plot dimensional reduction representation of the expression data
plotdiffgenesnb
Function for plotting differentially expressed genes
impGenes
Extract genes with high importance values for random forest classification
gene2gene
Comparative plot of the expression levels of two genes
getPart
Inference of a cell type partition
intestine
Single-cell transcriptome data of intestinal epithelial cells
compdr
Computation of dimensional reduction representations
getFeat
Feature selection based on differentially expressed genes
getsom
Topological ordering of pseudo-temporal expression profiles
fateBias
Computation of fate bias
filterset
Function for filtering expression data