Single-cell multi-omics using generative AI

By | May 2, 2024

Generative pre-trained models are becoming more common by the day, and such methods have now been applied to single cell sequencing, and multi-omits in general.

Two main players are “scBERT” and “scGPT”:

scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Haotian Cui, Chloe Wang, Hassaan Maan, Bo Wang – Nature Methods doi: 10.1038/s41592-024-02201-0

scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data Fan YangWenchuan WangFang WangYuan FangDuyu TangJunzhou HuangHui Lu & Jianhua Yao Nature Machine Intelligence 4(10):1-15 – doi:10.1038/s42256-022-00534-z

A YouTube description of use:

Rebecca Boiarsky – A Deeper Dive into Single Cell RNA Sequencing Foundation Models Machine -Learning in Computational Biology – MLCB2023
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