Influenza classification from short reads with VAPOR facilitates robust mapping pipelines and zoonotic strain detection for routine surveillance applications.
Joel A. SouthgateMatthew J. BullClare M. BrownJoanne WatkinsSally CordenBenjamin SouthgateCatherine MooreThomas R. ConnorPublished in: Bioinform. (2020)
Keyphrases
- robust detection
- pattern recognition
- feature extraction
- detection method
- feature selection
- pattern classification
- classification accuracy
- anomaly detection
- support vector machine svm
- classification algorithm
- automatic detection
- partial occlusion
- classification models
- false alarms
- infrared
- automatic classification
- machine learning
- image classification
- supervised learning
- object detection
- support vector machine
- feature vectors
- training set
- big data
- microcalcification clusters
- mammogram images
- digital mammograms
- neural network
- feature extraction and classification
- noisy environments
- computer vision
- decision trees
- feature space
- text classification
- detection rate
- event detection
- human activities
- class labels
- detection algorithm