HSMM_lda_model
(Package: cellTree) :
Pre-computed LDA model for HSMMSingleCell data
Pre-computed LDA model for HSMMSingleCell data
● Data Source:
BioConductor
● Keywords: data
● Alias: HSMM_lda_model
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cell.ordering.table
(Package: cellTree) :
Ranking of cells according to backbone tree structure
Produces a table of input cells ranked by their position in the backbone tree.
● Data Source:
BioConductor
● Keywords:
● Alias: cell.ordering.table
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cellTree-package
(Package: cellTree) :
Inference and visualisation of Single-Cell RNA-seq Data data as a hierarchical tree structure
This packages computes a Latent Dirichlet Allocation (LDA) model of single-cell RNA-seq data and build a compact tree modelling the relationship between individual cells over time or space.
● Data Source:
BioConductor
● Keywords:
● Alias: cellTree, cellTree-package
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Builds a ‘backbone tree’ from a fitted LDA model.
● Data Source:
BioConductor
● Keywords:
● Alias: compute.backbone.tree
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Computes enrichment scores for Gene Ontology terms associated with genes in each topic.
● Data Source:
BioConductor
● Keywords:
● Alias: compute.go.enrichment
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This function fits a Latent Dirichlet Allocation (LDA) to single-cell RNA-seq data.
● Data Source:
BioConductor
● Keywords:
● Alias: compute.lda
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ct.plot.go.dag
(Package: cellTree) :
Gene Ontology enrichment sets plotting
Plots DAG of significantly enriched terms for all topics, along with ancestor nodes.
● Data Source:
BioConductor
● Keywords:
● Alias: ct.plot.go.dag
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ct.plot.grouping
(Package: cellTree) :
Plot cell tree with grouping information
Plots a backbone tree (or MST) that was computed with compute.backbone.tree , displaying each cell's grouping.
● Data Source:
BioConductor
● Keywords:
● Alias: ct.plot.grouping
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Plots a heatmap of gene expression, with cells ordered according to the structure computed by compute.backbone.tree .
● Data Source:
BioConductor
● Keywords:
● Alias: ct.plot.heatmap
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ct.plot.topics
(Package: cellTree) :
Plot cell tree with topic distributions
Plots a backbone tree (or MST) that was computed with compute.backbone.tree , displaying each cell's topic distribution as a pie chart.
● Data Source:
BioConductor
● Keywords:
● Alias: ct.plot.topics
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1 images
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