Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.
Tushar JainTodd BolandAsparouh LilovIrina BurninaMichael BrownYingda XuMaximiliano VásquezPublished in: Bioinform. (2017)
Keyphrases
- machine learning
- prediction accuracy
- protein structure prediction
- decision trees
- pattern recognition
- prediction model
- recursive neural networks
- human computer interaction
- information extraction
- knowledge discovery
- learning tasks
- long term
- protein folding
- computational biology
- explanation based learning
- predictive modeling
- machine learning methods
- machine learning algorithms
- knowledge acquisition
- data mining
- natural language processing
- supervised learning
- neural network
- sequence analysis
- artificial intelligence
- data analysis
- learning problems
- learning systems
- text mining
- text classification
- knowledge representation
- fine grained
- inductive learning
- active learning
- natural language
- coarse grained
- protein interaction
- feature selection
- computer vision
- computational intelligence
- splice site