The Model generator is a platform feature included in the module GENERATOR. This feature enables users to build predictive models for the classification of phenotypes using previously constructed datasets.  Model building is fully automated through our powerful AI engine (O2P-Mgen) upon saving your request. Users only need to choose the dataset and specify how much AI learning time is to be allocated and how much percentage of false positive rate is tolerable for your model. Once models are generated by AI, users can evaluate their models through the following visualization functionalities:

• Table with predictive biomarkers characteristics such as their median levels (phenotype positive), type of regulatory effect (e.g. up-regulation and down-regulation) and the associated p-values.
• Dynamic Receiver Operator Characteristic (ROC) curve, which can be downloaded as an Excel file or as a figure (multiple formats available);
• Table with multiple model performance metrics (sensitivity, specificity, accuracy, ROC-AUC, and predictive power auto evaluation);
• Dynamic Heatmap with biomarkers partial scores and overall score on the dataset with auto-identification of false/true positive/negatives (can be downloaded and configurable);

Models are stored under encrypted and binary files which can be used downstream on other platform module features. Users can edit models and request new build attempts.

Digital Phenomics implements multiple mathematical models in our cutting-edge automated bioinformatic pipelines towards a phenomics analysis. We programme the pipelines for an automated and intelligent assessment of multiple phenotypes from large amounts of data coming from high-throughput technologies.  This AI technology enables a rapid and effective checking of health status and screening of multiple diseases on data from the same biological sample. Human phenomics is an emerging field that focuses on the characterization of such traits on an individual (phenome). At DIGITAL Phenomics, we integrate high-throughput “omics” data from an individual towards characterizing the human disease phenome and providing a precision medicine insight. For this purpose, we often use scoring metrics for phenotype prediction and classification of diseases allowing us to build a phenome heatmap.

To access our demo version, it is required to set up a demo account.

The demo account can be set by following the registration form by clicking the link below:

REGISTER HERE

We only need from you the institution’s name, the user’s name and the institutional email.

Next, you will get a confirmation email to set your password securely;

Then, you can access the platform on its DEMO version through the LOGIN portal on the menu bar.

NOTE: Inactivity of accounts for over 6 months will be permanently deleted.