JADBio will perform a  binary classification analysis when the training data provided includes only two possible outcomes. The binary classification use cases we provide include two medical and an agricultural example. In the first instance, JADBio uses microRNA expression data to predict the risk for an Alzheimer’s diagnosis. In the second, JADBio identifies the predictive traits, including metabolomics data,  associated with high or low-quality potatoes. In the third, JADBio uses microbiome profiled to differentiate healthy patients from those with colorectal cancer.