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ZENODO
Software . 2026
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Claim

Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Jan 2026Publisher:Zenodo
Authors: Zhuang, Haotian;

doi: 10.5281/zenodo.18293392 , 10.5281/zenodo.18293391

Trajectory-guided dimensionality reduction for multi-sample single-cell RNA-seq data reveals biologically relevant sample-level heterogeneity

Abstract

The R package MUSTARD (MUlti-Sample Trajectory-Assisted Reduction of Dimensions) implements a trajectory-guided dimensionality reduction method for multi-sample scRNA-seq data. This all-in-one decomposition reveals major gene expression variation patterns along the trajectory and across multiple samples simultaneously, providing opportunities to discover sample endotypes and associated genes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average