Google DeepMind 发布 AlphaGenome 2，按细胞类型预测基因开关突变
Looking at a whole tissue at once is like looking at a blurry image: you get the visuals, but miss what’s happening inside individual pix...
摘要
Google DeepMind 发布 AlphaGenome 2，模型基于 68 种组织的 1 亿多条图谱训练，每次聚焦一种细胞类型，识别出的开启和关闭基因的突变数量约为上一代模型的两倍。团队用整块组织与模糊图像的类比说明，整体观察会漏掉单个像素层面的变化。
摘要由模型根据原文撰写，以原文为准。
正文 · 原文
Looking at a whole tissue at once is like looking at a blurry image: you get the visuals, but miss what’s happening inside individual pixels.
Trained on 100M+ profiles across 68 tissues, AlphaGenome 2 focuses on one cell type at a time, spotting nearly twice as many mutations that turn genes on and off as our previous model.
来源：Google DeepMind · x.com
引用原文
GoogleDeepMind. Looking at a whole tissue at once is like looking at a blurry image: you get the visuals, but miss what’s happening inside individual pix...[EB/OL]. (2026-11-11)[访问日期]. https://x.com/GoogleDeepMind/status/2120532826336501822.