Non-invasive Multi-Omics Profiling Unveils the Molecular Landscape of HPV-Driven Cervical Precursor Lesions
收藏官方服务：
资源简介：
“This dataset contains DEGs derived from transcriptomic analyses of four cervical cytology samples. Each CSV corresponds to one cytology class and includes gene symbols, Ensembl ID, log2 fold changes, and adjusted p-values.” Data were generated and analyzed by Ayass Bioscience as part of a study submitted to Frontiers in Oncology.
提供机构：
Zenodo创建时间：
2025-07-07
