PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09693495.pdf?arnumber=9693495
Reference53 articles.
1. Bagging-based positive-unlabeled learning algorithm with Bayesian hyperparameter optimization for three-dimensional mineral potential mapping
2. Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm
3. Multistage feature selection approach for high-dimensional cancer data
4. SPINE X: Improving protein secondary structure prediction by multistep learning coupled with prediction of solvent accessible surface area and backbone torsion angles
5. The PSIPRED protein structure prediction server
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