Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples.
Patrick PerkinsSteffen HeberPublished in: BCB (2019)
Keyphrases
- detection algorithm
- negative selection
- detection method
- detection accuracy
- artificial immune
- clonal selection algorithm
- rna seq
- outlier detection
- data sets
- artificial immune system
- anomaly detection
- real valued
- intrusion detection
- moving objects
- hybrid method
- harris corner
- function optimization
- network intrusion detection
- simulated annealing
- control system
- high throughput sequencing
- training set