CLIMB: High-dimensional association detection in large scale genomic data

oleh: Hillary Koch, Cheryl A. Keller, Guanjue Xiang, Belinda Giardine, Feipeng Zhang, Yicheng Wang, Ross C. Hardison, Qunhua Li

Format: Article
Diterbitkan: Nature Portfolio 2022-11-01

Deskripsi

Comparisons among experimental results with large amounts of data can be more precise and meaningful when done across multiple different conditions simultaneously. Koch et al. introduce a method, called CLIMB, that does this, and captures interpretable and biologically meaningful information.