Article

PhyloVelo enhances transcriptomic velocity field mapping using monotonically expressed genes

2023-08-01

Abstract excerpt

<title>Abstract</title> <p>Single-cell RNA-sequencing (scRNA-seq) is a powerful approach for studying cellular differentiation, but accurately tracking cell-fate transitions can be challenging, especially in disease conditions. Here, we introduce PhyloVelo, a computational framework that estimates the velocity of transcriptomic dynamics by using monotonically expressed genes (MEGs), or genes with expression patte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 336d87bb-80be-5f59-92f8-1bd85b5731d2
DOI: 10.21203/rs.3.rs-2197712/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

PhyloVelo enhances transcriptomic velocity field mapping using monotonically expressed genesDOI 10.21203/rs.3.rs-2197712/v1Read

Cell division history encodes directional information of fate transitionsSemantic proximity Read

Cell cycle gene regulation dynamics revealed by RNA velocity and deep-learningSemantic proximity Read

Single-cell transcriptional diversity is a hallmark of developmental potentialSemantic proximity Read

Integrating temporal single-cell gene expression modalities for trajectory inference and disease predictionSemantic proximity Read

TIVelo: RNA velocity estimation leveraging cluster-level trajectory inferenceSemantic proximity Read

CellRank for directed single-cell fate mappingSemantic proximity Read

CellRank for directed single-cell fate mappingSemantic proximity Read

CellRank 2: unified fate mapping in multiview single-cell dataSemantic proximity Read

Experimental Time Points Guided Transcriptomic Velocity InferenceSemantic proximity Read

Unified fate mapping in multiview single-cell dataSemantic proximity Read

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain by scGESTALTSemantic proximity Read

Lineage-aware stochastic modeling reveals gene-expression dynamics in development and diseaseSemantic proximity Read