Multiomics identification of programmed cell death-related characteristics for nonobstructive azoospermia based on a 675-combination machine learning computational framework

Bibliographic Details
Title:	Multiomics identification of programmed cell death-related characteristics for nonobstructive azoospermia based on a 675-combination machine learning computational framework
Authors:	Huang, Shuqiang ^{a, 1}, Tan, Cuiyu ^{a, 1}, Chen, Wanru ^{b, 1}, Zhang, Tongtong ^a, Xu, Liying ^a, Li, Zhihong ^a, Chen, Miaoqi ^a, Yuan, Xiaojun ^a, Chen, Cairong ^{a, c, ⁎}, Yan, Qiuxia ^{a, c, ⁎}
Source:	In Genomics January 2025 117(1)
Database:	ScienceDirect