Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules' Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE.
Pranab DasDilwar Hussain MazumderPublished in: ICCBB (2021)
Keyphrases
- multi label
- virtual screening
- drug discovery
- chemical compounds
- multi label classification
- pharmaceutical industry
- class labels
- text categorization
- image classification
- binary classifiers
- text classification
- graph cuts
- image annotation
- binary classification
- multi label learning
- drug design
- protein function prediction
- multiple labels
- high throughput
- training data
- classification algorithm
- information retrieval
- chemical reactions
- neural network
- graph data
- visual features
- k nearest neighbor
- higher order
- information extraction
- image processing