SEMQuant: Extending Sipros-Ensemble with Match-Between-Runs for Comprehensive Quantitative Metaproteomics.
Bailu ZhangShichao FengManushi ParajuliYi XiongChongle PanXuan GuoPublished in: ISBRA (3) (2024)
Keyphrases
- neural network
- random forest
- qualitative and quantitative
- ensemble learning
- random forests
- real world
- quantitative and qualitative
- training data
- ensemble methods
- base classifiers
- case study
- benchmark datasets
- search algorithm
- knowledge base
- feature selection
- ensemble classifier
- classifier ensemble
- multiple classifiers
- pruning algorithm
- clustering ensemble
- ensemble pruning