Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences.
Younghoon KimTao WangDanyi XiongXinlei WangSeongoh ParkPublished in: BMC Bioinform. (2022)
Keyphrases
- multiple instance
- cancer detection
- neural network
- multiple instance learning
- concept learning
- learning problems
- real valued
- semi supervised learning
- prostate cancer
- pattern recognition
- gene selection
- information extraction
- high dimensional
- image classification
- supervised learning
- relational learning
- maximum margin
- regression problems
- machine learning