2026-10-12T21:07:13Z https://www.scidb.cn/oai

10.57760/sciencedb.41412 2026-07-27T10:09:30Z

2026-07-27 An analysis dataset of mitophagy-related genes in obstructive sleep apnea syndrome by using WGCNA to map gene networks and employs machine learning techniques to identify key OSAS-related genes. doi:10.57760/sciencedb.41412 en The objective of this study is to dentification and validation of mitophagy-related genes in obstructive sleep apnea syndrome using bioinformatical analysis. To our knowledge, this was the first bioinformatical analysis evaluating the correlation between mitophagy-related genes and obstructive sleep apnea syndrome. Our submission utilizes WGCNA to map gene networks and employs machine learning techniques to identify key OSAS-related genes. We further elucidate their biological roles and construct a predictive nomogram, enhancing the understanding of OSAS pathogenesis. This study employs bioinformatics to uncover novel genes associated with OSAS, potentially paving the way for early diagnostics and deeper insights into the condition's molecular underpinnings. Obstructive sleep apnea syndrome (OSAS); Mitophagy-related genes; Gene expression; Weighted Gene Co-expression Network Analysis (WGCNA); Machine learning; Unsupervised clustering analysis; Immune infiltration analysis Shuran Liu Tianyuan Hou RESTRICTED dataset Science Data Bank