标题 CELLPLM: PRE-TRAINING OF CELL LANGUAGE MODEL BEYOND SINGLE CELLS https://openreview.net/forum?id=BKXvPDekud 发表 ICLR (The International Conference on Learning Representations) 2024 通讯 Jiliang Tang | Computer science and engineering department | Michigan State University | https://www.cse.msu.edu/~tangjili/ 1. 简介 （1）scRNA-seq data与natural langu...
Transfer learning enables predictions in network biology | Nature https://doi.org/10.1038/s41586-023-06139-9 Received: March 2022 / Accepted: 27 April 2023 Data & Code: https://huggingface.co/ctheodoris 通讯作者：Patrick T. Ellinor, M.D., Ph.D. https://www.ellinorlab.org/team/ 1. 预训练模型 1.1 scRNA-seq数据 数据收集：Genecorp...
GeneCompass: deciphering universal gene regulatory mechanisms with a knowledge-informed cross-species foundation model Cell research | 2024.10 https://doi.org/10.1038/s41422-024-01034-y https://github.com/xCompass-AI/GeneCompass (最后)通讯作者 Xin Li 0. 模型预训练 0.1 数据规模 初始收集126M，经QC后，101M细胞用于训练(53M 人源 /...
Quantized multi-task learning for context-specific representations of gene network dynamics 2024.8.19, bioRxiv 【预印本】 https://doi.org/10.1101/2024.08.16.608180 通讯作者：Christina Theodoris （2021 Geneformer的一作，现在应该是独立的PI了） https://gladstone.org/people/christina-theodoris 背景知识 算...