FIGURE 1 from A Bioinformatics Tool for Identifying Intratumoral Microbes from the ORIEN Dataset

Overview of the MEGA workflow. Four main steps were included in carrying out model training and biological gene network inference. MEGA uses ORIEN datasets and two database dependencies as the data sources. Preprocessing steps are employed to generate AI-ready data for graph neural network training. After deep learning model training, the cancer-associated microbial signatures were selected on the basis of the attention scores of each species at the sample level. The final results of the identified cancer-associated microbial communities have been provided in a tabular format and are available for additional visualization.