Filtering of false positive microRNA candidates by a clustering-based approach.
Wing-Sze LeungMarie C. M. LinDavid Wai-Lok CheungSiu-Ming YiuPublished in: BMC Bioinform. (2008)
Keyphrases
- false positives
- false negative
- detection rate
- clustering algorithm
- true positive
- false positive rate
- clustering method
- number of false positives
- k means
- low false positive rate
- self organizing maps
- cluster analysis
- data clustering
- categorical data
- multi class
- data points
- spectral clustering
- filtering algorithm
- outlier detection
- hierarchical clustering
- machine learning
- test collection
- unsupervised learning
- similarity measure
- decision trees
- information retrieval