Comprehensive large-scale datasets for 26 viral families for fine-tuning BERT-infect models
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11102792
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资源简介：
These datasets were constructed in the paper "Hidden Challenges in Evaluating Spillover Risk of Zoonotic Viruses using Machine Learning Models" (doi: https://doi.org/10.1101/2024.04.25.591033). The details were also described in the git-hub (https://github.com/Junna-Kawasaki/BERT-infect_2024).
The compressed files, such as ${virus}.tar.xz, contain fasta and genbank files.
创建时间：
2024-05-08
