Predicting a better Chip
The data were uploaded and run on the JADBIO platform to create a model capable of differentiating potatoes that resist bruising and produce quality chips (high quality) from those that don’t (low quality).
Discovering Plant Metabolic Biomarkers
Survival analysis predicts the time it will take for an event to occur based on the occurrence of past events. Survival analysis is challenged by the presence of censored data, events that have not occurred yet, but might in the future. In the use case we provide here, we are predicting the survival of Low Grade Glioma (LGG) patients based on a variety of clinical data and the expression of microRNA.
JADBIO includes many types of regression models. The key indicator that JADBIO will perform a regression analysis is found in your data; the predicted outcome is a continuous run of numbers. The example use case we provide for regression is based on a dataset published as part of a study in the progression of Parkinson’s disease. JADBIO is able to produce able to accurate predictive models regardless of your expertise in advanced machine learning techniques.
Though similar to a binary classification, a multiclass classification uses different algorithms, creates different outputs, and uses more recourses. As the name suggests, it is the analysis JADBIO performs when the outcome has more than two kinds of results. In the analysis of a multiclass algorithm, JADBIO will often provide the results of one class in the contrast to all the others. The use case we include for multiclass analysis describes the classification of mutations in DNA molecules based on differences in their melting profile. We also have a use case that classifies different cancer types based on their tumor gene expression profiles.
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 metabolomic data, associated with high or low quality potatoes. In the third, JADBIO uses microbiome profiled to differentiate heathy patients from those with colorectal cancer.