这篇文章介绍了一种名为 CellFM 的新型大规模基础模型，其专门用于分析单细胞转录组数据。作者们通过汇编 1亿个人体细胞 的多样化数据集来训练 CellFM，并采用了一种改进的 RetNet架构 来确保高效的训练和性能。该模型包含 8亿个参数，在细胞注释、基因功能预测和基因相互作用分析等多个单细胞任务中，都展现出优于现有模型的卓越性能。该研究强调了像 CellFM 这样的综合模型在应对单细胞数据分析固有挑战方面的潜力，并预示着其在生物学和医学研究中的广泛应用前景。References: Zeng Y, Xie J, Shangguan N, et al. CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells[J]. Nature Communications, 2025, 16(1): 4679.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Trump $82 Million Bond Spree, Brazil Tariffs 'Too High,' More
16 Nov 2025
Bloomberg News Now
Ex-Fed Gov Resigned After Rules Violations, Trump Buys $82 Mil of Bonds, More
16 Nov 2025
Bloomberg News Now
THIS TRUMP INTERVIEW WAS INSANE!
16 Nov 2025
HasanAbi
Epstein Emails and Trump's Alleged Involvement
15 Nov 2025
Conspiracy Theories Exploring The Unseen
New Epstein Emails Directly Implicate Trump - H3 Show #211
15 Nov 2025
H3 Podcast
Trump Humiliates Himself on FOX as They Call Him Out
15 Nov 2025
IHIP News