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scMetaTraj (version 0.1.1)

Metabolic State Space and Trajectory Analysis for Single-Cell Data

Description

Provides a framework for modeling cellular metabolic states and continuous metabolic trajectories from single-cell RNA-seq data using pathway-level scoring. Enables lineage-restricted metabolic analysis, metabolic 'pseudotime' inference, module-level trend analysis, and visualization of metabolic state transitions.

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Version

Install

install.packages('scMetaTraj')

Version

0.1.1

License

MIT + file LICENSE

Maintainer

Jinwei Dai

Last Published

January 27th, 2026

Functions in scMetaTraj (0.1.1)

scMetaTraj_plot_trend_by_cluster

Plot module trends by metabolic cluster
scMetaTraj_switchpoint

Identify metabolic trajectory switchpoint
scMetaTraj_trend_multi

Compute trends and switchpoints for multiple modules along mPT
scMetaTraj_trend_by_cluster

Compute module trends along mPT stratified by metabolic cluster
scMetaTraj_score

Calculate metabolic pathway scores for single cells
scMetaTraj_flow

Compute local directional consistency along mPT
scMetaTraj_plot_trend_multi

Plot multiple module trends with switchpoints
scMetaTraj_embed

Embed cells in metabolic feature space
scMetaTraj_cluster_profile

Summarize metabolic profiles of clusters
scMetaTraj_axis_score

Calculate metabolic axis scores
scMetaTraj_plot_module_cards

Plot metabolic module cards
scMetaTraj_mPT_distribution

Prepare mPT distribution data for metabolic subclusters
scMetaTraj_plot_gradient

Plot metabolic gradient on UMAP
scMetaTraj_cluster

Cluster cells in metabolic PCA space
scMetaTraj_transition_zone

Identify candidate transition zone along mPT
scMetaTraj_trend

Compute metabolic module trend along pseudotime