人工智能的细胞图谱：来自疾病相关细胞系的人工智能就绪的人类细胞结构图谱。
Cell Maps for Artificial Intelligence: AI-Ready Maps of Human Cell Architecture from Disease-Relevant Cell Lines.
作者信息
Clark Timothy, Mohan Jillian, Schaffer Leah, Obernier Kirsten, Al Manir Sadnan, Churas Christopher P, Dailamy Amir, Doctor Yesh, Forget Antoine, Hansen Jan Niklas, Hu Mengzhou, Lenkiewicz Joanna, Levinson Maxwell Adam, Marquez Charlotte, Nourreddine Sami, Niestroy Justin, Pratt Dexter, Qian Gege, Thaker Swathi, Bélisle-Pipon Jean-Christophe, Brandt Cynthia, Chen Jake, Ding Ying, Fodeh Samah, Krogan Nevan, Lundberg Emma, Mali Prashant, Payne-Foster Pamela, Ratcliffe Sarah, Ravitsky Vardit, Sali Andrej, Schulz Wade, Ideker Trey
机构信息
University of Virginia.
University of California San Diego.
出版信息
bioRxiv. 2024 May 24:2024.05.21.589311. doi: 10.1101/2024.05.21.589311.
This article describes the Cell Maps for Artificial Intelligence (CM4AI) project and its goals, methods, standards, current datasets, software tools , status, and future directions. CM4AI is the in the U.S. National Institute of Health's (NIH) program. Its overarching mission is to produce ethical, AI-ready datasets of cell architecture, inferred from multimodal data collected for human cell lines, to enable transformative biomedical AI research.
本文介绍了人工智能细胞图谱（CM4AI）项目及其目标、方法、标准、当前数据集、软件工具、现状和未来方向。CM4AI是美国国立卫生研究院（NIH）细胞图谱计划的一部分。其总体任务是从为人类细胞系收集的多模态数据中推断出符合伦理规范且适用于人工智能的细胞结构数据集，以推动变革性的生物医学人工智能研究。
Zotero 插件