BSBL-TSK-FS
收藏DataCite Commons2024-06-12 更新2024-08-19 收录
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https://figshare.com/articles/dataset/BSBL-TSK-FS/26020261/1
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资源简介：
We develop a fuzzy inference system based on block sparse Bayesian learning (BSBL), named BSBL-TSK-FS. The system classifies m6A sites in several tissues of humans, mice, and rats. Under the five-fold cross-validation (5-CV) method, the accuracy of the BSBL-TSK-FS model is 0.84-0.95. The best results for each dataset are saved in the results folder. The results and optimal parameters for 11 datasets are shown in the table below.Datasets k lambda h seedmb 2 0.5 5 12345678mh 2 0.5 5 12345678mk 2 0.5 5 12345678ml 2 0.5 5 12345678mt 1 0.5 5 12345678hb 2 0.5 5 12345678hk 1 0.5 5 12345678hl 1 0.5 5 12345678rb 1 0.5 5 12345678rk 2 0.5 5 12345678rl 2 0.5 5 12345678<br>
提供机构：
figshare
创建时间：
2024-06-12
