Editorial: Combining machine learning, computational modeling, and high throughput experimentation to accelerate discovery in systems microbiology

被引:0
作者
Fuentes-Cabrera, Miguel [1 ]
Zuliani, Paolo [2 ]
Li, Bowen [3 ]
Wilmoth, Jared L. [4 ]
Bilbao, Aivett [5 ]
Dohnalkova, Alice C. [5 ]
机构
[1] Northeastern Univ, Khoury Coll Comp Sci, Oakland, CA 94613 USA
[2] Sapienza Univ Rome, Dipartimento Informat, Rome, Italy
[3] Newcastle Univ, Res Software Engn Grp, Catalyst Bldg, Newcastle Upon Tyne, England
[4] Univ Maryland, Dept Environm Sci & Technol, College Pk, MD USA
[5] Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA USA
关键词
machine learning; microbiology; high throughput experiments; computational simulations; accelerate discovery;
D O I
10.3389/fmicb.2024.1451243
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
引用
收藏
页数:2
相关论文
empty
未找到相关数据