The COVID-19 disease for Novel coronavirus (SARS-CoV-2) has turned out to be a global pandemic. The high transmission rate of this pathogenic virus demands an early prediction and proper identificatio

NIAID Data Ecosystem50

shrishdwivedi/vmap-dataset

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ViralMap数据集是一个用于病毒蛋白质特征预测的数据集，基于主要序列数据。它包含一个Pandas DataFrame文件（vmap_data.pkl），其中存储了序列、标签、簇ID、折叠分配、分类学信息以及其他UniProt相关列；此外，还包括测试折叠结果文件夹（test_fold{1-5}/），这些文件夹中包含来自交叉验证的测试折叠结果，每个测试折叠蛋白质对应一个CSV文件。该数据集旨在支持

Hugging Face2026-04-26 更新40

Table1_ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor.XLSX

病毒学预测

机器学习

Adenoviruses (AdVs) constitute a diverse family with many pathogenic types that infect a broad range of hosts. Understanding the pathogenesis of adenoviral infections is not only clinically relevant b

NIAID Data Ecosystem70

Forecasting the rate of cumulative cases of COVID-19 infection in Northeast Brazil: a Boltzmann function-based modeling study

COVID-19

病毒学预测

Abstract: The COVID-19 death rate in Northeast Brazil is much higher when compared to the national average, demanding a study into the prognosis of the region for planning control measures and prevent

DataCite Commons2021-03-25 更新50

Low back pain prevalence forecasts in high-income North America in 2030, 2040, 2050

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