Đang chuẩn bị liên kết để tải về tài liệu:
MITRE: Inferring features from microbiota time-series data linked to host status

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG Tải xuống

Longitudinal studies are crucial for discovering causal relationships between the microbiome and human disease. We present MITRE, the Microbiome Interpretable Temporal Rule Engine, a supervised machine learning method for microbiome time-series analysis that infers human-interpretable rules linking changes in abundance of clades of microbes over time windows to binary descriptions of host status, such as the presence/absence of disease. |