Supervised method for periodontitis phenotypes prediction based on microbial composition using 16S rRNA sequences.
Wei ChenYongmei ChengShao-Wu ZhangQuan PanPublished in: Int. J. Comput. Biol. Drug Des. (2014)
Keyphrases
- significant improvement
- detection method
- prediction model
- hidden markov models
- high accuracy
- objective function
- dynamic programming
- semi supervised
- sequence analysis
- neural network
- predictive model
- sequence data
- high precision
- prediction accuracy
- probabilistic model
- cost function
- pairwise
- preprocessing
- similarity measure
- image sequences
- decision trees