| 项目编号 | PRJCA042779 | ||||||||||
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| 项目标题 | Machine learning integration identifying an eight-gene diagnostic signature for acute mountain sickness | ||||||||||
| 涉及领域 | Medical | ||||||||||
| 数据类型 |
Metagenome
Phenotype or Genotype Transcriptome or Gene expression Raw sequence reads Single cell sequencing Clinical information Biomarkers Proteome Metabonomics |
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| 物种名称 | Homo sapiens | ||||||||||
| 描述信息 | The expanding availability of modern transportation infrastructure has accelerated large-scale population migration to high-altitude regions, significantly increasing clinical demands for addressing acute mountain sickness (AMS). However, the diagnosis of AMS mainly depends on a self-questionnaire, revealing the need for reliable biomarkers for AMS. To address this issue, we constructed an advanced computational framework integrating longitudinal multi-omics profiling and ensemble machine learning models to delineate clinically actionable biomarkers with stable diagnostic trajectories. | ||||||||||
| 样品范围 | Multiisolate | ||||||||||
| 发布日期 | 2025-07-09 | ||||||||||
| 出版信息 |
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| 项目资金来源 |
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| 提交者 | Dongfeng Yin (ydf1112@163.com) | ||||||||||
| 提交单位 | Shihezi University | ||||||||||
| 提交日期 | 2025-07-08 |
| 资源名称 | 描述 |
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