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...,