一个灵活的框架,用于从临床奥米克研究中发现最小的生物标志物签名,而无需对图书馆大小进行规范化

Daniel Rawlinson1,2, Chenxi Zhou3,4, Myrsini Kaforou5

  • 1Department of Microbiology and Immunology, University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.

PLOS digital health
|March 26, 2025
PubMed
概括

我们开发了Forward Selection-Partial Least Squares (FS-PLS),一种新的方法,可以从复杂的复杂疾病中找到最小的疾病特征.