https://www.selleckchem.com/products/msa-2.html
We compared DeepDigest with three traditional machine learning algorithms, i.e., logistic regression, random forest, and support vector machine. On the eight training data sets, the 10-fold cross-validation accuracies (AUCs) of DeepDigest were 0.956-0.982, significantly higher than those of the three traditional algorithms. On the 11 independent test data sets, DeepDigest achieved AUCs between 0.849 and 0.978, outperforming the other traditional algorithms in most cases. Transfer learning then further improved the prediction accuracy. Bes
Like
Comment
Share
