Multi-class approach
收藏DataCite Commons2024-08-29 更新2024-09-03 收录
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https://figshare.com/articles/dataset/Multi-class_approach/26131864
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资源简介：
We tried different machine learning models (SVM, MLP, KNN, LR, RF), and features extracted by ESM2, to predict different types of nucleic acid binding proteins using multi-class approach. Files in the folder are the pre-trained models to predict non-NABPs, NABPs, SSBs and DSBs. The folder contains the README.txt file, indicating the user note for each model.
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figshare创建时间：
2024-08-29
