PulseAugur
EN
LIVE 12:22:55

New dataset integrates 3,178 subjects for AI-driven viral immunity research

By PulseAugur Editorial · [1 sources] ·

Researchers have created the HR-VILAGE-3K3M dataset, an AI-ready resource designed to consolidate transcriptomic data from human respiratory viral immunization studies. This comprehensive collection integrates profiles from over 3,000 subjects across 66 studies, encompassing vaccination, inoculation, and mixed exposures. By standardizing metadata and preprocessing, HR-VILAGE-3K3M aims to facilitate AI-driven analyses for discovering biomarkers and understanding immune mechanisms, thereby accelerating vaccine and antiviral research. AI

IMPACT Enables scalable AI analyses for biomarker discovery and immune mechanism research in viral infections.

RANK_REASON The cluster contains a new scientific paper detailing a novel dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Xuejun Sun, Yiran Song, Xiaochen Zhou, Ruilie Cai, Yu Zhang, Xinyi Li, Rui Peng, Jialiu Xie, Yuanyuan Yan, Muyao Tang, Prem Lakshmanane, Baiming Zou, James S. Hagood, Raymond J. Pickles, Didong Li, Fei Zou, Xiaojing Zheng ·

    HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity

    arXiv:2505.14725v2 Announce Type: replace-cross Abstract: Respiratory viral infections pose a global health burden, yet the cellular immune mechanisms underlying protection and pathology remain unclear. Natural infection cohorts often lack pre-exposure baselines and time-controll…

RELATED TOPICS