SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models.
Xiaochuan WangChen LiFuyi LiVarun S. SharmaJiangning SongGeoffrey I. WebbPublished in: BMC Bioinform. (2019)
Keyphrases
- multistage
- learning models
- machine learning
- learning algorithm
- learning tasks
- dynamic programming
- loss function
- lot sizing
- conditional random fields
- protein interaction
- semi supervised learning
- machine learning algorithms
- single stage
- data mining
- optimal policy
- neural network
- active learning
- data analysis
- text mining
- learning problems
- similarity measure
- information retrieval