Identifying candidate genes for spermatogenic failure and predicting ICSI outcomes using single-cell RNA sequencing and protein-protein interaction networks.

已完结 20 由 crethy 发布于 2025/12/8 17:46:59

DOI:10.1093/humrep/deaf186
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1093/humrep/deaf186

Oxford University Press

Abstract：STUDY QUESTION How can integrating updated single-cell transcriptomics and protein-protein interactions (PPIs) with machine learning algorithms improve gene prioritization for spermatogenic

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