CARE 2.0: reducing false-positive sequencing error corrections using machine learning.
Felix KallenbornJulian CascittiBertil SchmidtPublished in: BMC Bioinform. (2022)
Keyphrases
- false positives
- false negative
- machine learning
- false positive rate
- detection rate
- true positive
- number of false positives
- low false positive rate
- long term
- machine learning algorithms
- knowledge acquisition
- error rate
- pattern recognition
- inductive logic programming
- knowledge representation
- supervised learning
- text mining
- text classification
- artificial intelligence
- machine learning methods
- computer vision
- data mining
- data analysis
- learning algorithm
- knowledge discovery
- active learning
- explanation based learning
- decision trees
- video sequences
- unsupervised learning