---
title: "Learning developmental dynamics from lineage context"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2610.40447v1"
permalink: "https://feed.astralor.com/items/itm_11243f3fedde0d624ca5f47b"
published: "2026-10-29T16:59:01.000Z"
score: 53
channel: "ai"
tags: ["RAG","Learning","Lineage","Here","Applied","Despite","These","Tbx5"]
---

# Learning developmental dynamics from lineage context

## 速览

A central goal of biology is to predict the dynamics of multicellular systems. Lineage context (the states of a cell's sisters, cousins, etc.) could inform these predictions, but how best to leverage it remains unclear.…

## 关键点

- A central goal of biology is to predict the dynamics of multicellular systems.
- Lineage context (the states of a cell's sisters, cousins, etc.) could inform these predictions, but how best to leverage it remains unclear.
- Here we introduce lineage inpainting, a generative modeling approach that uses lineage context with tree-structured transformers and stochastic interpolants to model cell state dynamics across lineage trees.

## 全文

A central goal of biology is to predict the dynamics of multicellular systems. Lineage context (the states of a cell's sisters, cousins, etc.) could inform these predictions, but how best to leverage it remains unclear. Here we introduce lineage inpainting, a generative modeling approach that uses lineage context with tree-structured transformers and stochastic interpolants to model cell state dynamics across lineage trees. Applied to a lineage-traced transcriptional atlas of mouse embryogenesis, it recovers dynamics not resolved by gene expression alone, including multiple transcriptional convergence events where distinct lineages are drawn to a common state. Despite being fit on unperturbed development, lineage inpainting can generate hypotheses about perturbation responses by simulating counterfactuals. These simulations agree in many cases with observed developmental phenotypes, including a single-cell measurement of the Tbx5 knockout response. Our results show that lineage information provides a rich source of context for learning multicellular dynamics.

---

引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_11243f3fedde0d624ca5f47b