Article

Generative Modeling of Mouse Embryogenesis for Fate and Disease Prediction

2026-06-24

Abstract excerpt

Embryonic development is orchestrated by complex gene regulatory networks, and learning regulatory dynamics from developmental data could allow us to understand, predict, and ultimately engineer cell fates. Here we introduce Navigo ( https://github.com/aristoteleo/Navigo-release ), a biologically grounded generative modeling framework that learns a developmental vector field by integrating flow matching at the po...

Topics

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

Identifiers and source

Literature Corpus work: 6ec89ba3-5b8a-50c3-98f4-55978971e070
DOI: 10.64898/2026.06.18.733286

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generative Modeling of Mouse Embryogenesis for Fate and Disease PredictionDOI 10.64898/2026.06.18.733286Read

mmVelo: A deep generative model for estimating cell state-dependent dynamics across multiple modalitiesSemantic proximity Read

RegVelo: gene-regulatory-informed dynamics of single cellsSemantic proximity Read

Characterization of cell-fate decision landscapes by estimating transcription factor dynamicsSemantic proximity Read

Predicting how perturbations reshape cellular trajectories with PerturbGenSemantic proximity Read

A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseasesSemantic proximity Read

STODE: A Deep Generative Framework for Continuous Spatiotemporal Dynamics in Spatial TranscriptomicsSemantic proximity Read

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease.Semantic proximity Read

DynPerturb:Dynamic Perturbation Modeling for Spatiotemporal Single-Cell SystemsSemantic proximity Read

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart diseaseSemantic proximity Read

Regulatory network hubs guide dynamic human lineage specificationSemantic proximity Read

Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex DiseasesSemantic proximity Read

PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment ResponsesSemantic proximity Read