Staphylococcus Aureus Function Proteins Classification with Time Series Forest
摘要
Oral microbial communities play different roles in systemic human physiology. The oral microbial community is a dynamic system, and its composition and structure will be affected by many factors. In this work, we proposed a method to classify the active function site of a kind of oral microorganism, which is Staphylococcus aureus. We employed the time series forest method to classify the active function of Staphylococcus aureus. In order to test the performances of this algorithm, we utilized several typical features in this work.