Article

DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural network

2026-06-11

Abstract excerpt

Inferring early cell fate from single-cell RNA-sequencing data is essential for identifying cellular origins and fate plasticity in development and disease. However, existing methods often fail to exploit tree-structured lineage trajectories, limiting the accuracy and interpretability of fate mapping. Here we present DyMoTree, a computational framework that models cell fate decisions as nonlinear mappings between...

Topics

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

Identifiers and source

Literature Corpus work: a6c27716-7d71-5236-bf83-8a90d77b1c9e
DOI: 10.64898/2026.06.09.731114

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DyMoTree decodes early cell state transitions and drivers from single-cell transcriptomes using a tree-structured neural networkDOI 10.64898/2026.06.09.731114Read

Deep Lineage: Single-Cell Lineage Tracing and Fate Inference Using Deep LearningSemantic proximity Read

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

PASTRI: Resolving Stage-Specific Cell-State Dynamics from Annotated Cell Lineage TreesSemantic proximity Read

Topographer Reveals Dynamic Mechanisms of Cell Fate Decisions from Single-Cell Transcriptomic DataSemantic proximity Read

Cell division history encodes directional information of fate transitionsSemantic proximity Read

Learning dynamics by computational integration of single cell genomic and lineage informationSemantic proximity Read

Deciphering Cell Fate and Clonal Dynamics via Integrative Single-Cell Lineage ModelingSemantic proximity Read

Mapping single-cell developmental potential in health and disease with interpretable deep learningSemantic proximity Read

Unified fate mapping in multiview single-cell dataSemantic proximity Read

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

Learning dynamics by computational integration of single cell genomic and lineage informationSemantic proximity Read

Dynamic Landscape Analysis of Cell Fate Decisions: Predictive Models of Neural Development From Single-Cell DataSemantic proximity Read