Biomarker detection and validation for corneal involvement in patients with acute infectious conjunctivitis: A multi-country study

This dataset accompanies the study “Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis,” published in JAMA Ophthalmology (doi:10.1001/jamaophthalmol.2024.2891). The study utilized transcriptomic data and machine learning approaches to identify biomarkers associated with corneal involvement in conjunctivitis patients, with apolipoprotein E (APOE) emerging as a key biomarker. The dataset includes raw transcriptomic counts, sample metadata, and gene mapping files, enabling replication and further exploration of the findings. Ethical considerations have been addressed, with all patient data anonymized and deidentified to protect privacy. , , , # Data from: Biomarker detection and validation for corneal involvement in patients with acute infectious conjunctivitis: A multi-country study [https://doi.org/10.5061/dryad.4j0zpc8mm](https://doi.org/10.5061/dryad.4j0zpc8mm) This dataset contains the gene count data used for finding biomarkers predicting corneal involvement in patients with acute infectious conjuntivitis, as described in the paper: Seitzman GD, Prajna L, Prajna NV, et al. Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis. *JAMA Ophthalmol.* 2024;142(9):865–871. doi:10.1001/jamaophthalmol.2024.2891 ## List of files ``` biomarker_detection_count_data_md5-9b4b21f9.csv biomarker_detection_sample_table_md5-7bd7fef2.csv ENSG_ID2Name.txt.zip ``` ## Description of the data and file structure Below is a brief description of each data file. ### `biomarker_detection_count_data_DESeq2norm_md5-9b4b21f9.csv` The CSV file `biomarker_detection_count_data_DESeq2norm_md...,本数据集配套发表于《JAMA眼科学》（JAMA Ophthalmology）的研究《急性感染性结膜炎患者角膜受累的生物标志物检测与验证》，该研究DOI为10.1001/jamaophthalmol.2024.2891。 该研究利用转录组学数据（transcriptomic data）与机器学习方法，识别出与结膜炎患者角膜受累相关的生物标志物，其中载脂蛋白E（apolipoprotein E, APOE）成为关键标志物。本数据集包含原始转录组计数数据（raw transcriptomic counts）、样本元数据（sample metadata）以及基因映射文件，可支持研究结果的复现与后续拓展研究。 本研究已完成伦理合规审查，所有患者数据均已匿名化并去标识化处理，以保护受试者隐私。 --- ### 数据来源 《急性感染性结膜炎患者角膜受累的生物标志物检测与验证：多国研究》 [https://doi.org/10.5061/dryad.4j0zpc8mm](https://doi.org/10.5061/dryad.4j0zpc8mm) 本数据集包含用于筛选预测急性感染性结膜炎患者角膜受累的生物标志物所需的基因计数数据，相关研究详见下述论文： Seitzman GD, Prajna L, Prajna NV, 等. 急性感染性结膜炎患者角膜受累的生物标志物检测与验证. *JAMA Ophthalmol*. 2024;142(9):865–871. doi:10.1001/jamaophthalmol.2024.2891 --- ## 文件列表 biomarker_detection_count_data_md5-9b4b21f9.csv biomarker_detection_sample_table_md5-7bd7fef2.csv ENSG_ID2Name.txt.zip --- ## 数据与文件结构说明 以下为各数据文件的简要说明： ### `biomarker_detection_count_data_DESeq2norm_md5-9b4b21f9.csv` 本CSV文件`biomarker_detection_count_data_DESeq2norm_md5-9b4b21f9.csv`（原文内容未完整展示）