Demonstration on OpenRiskNet approach on modelling for prediction or read across (ModelRX case study)
Tuesday, 11 June 2019, 16:00 CEST
Presenters: Philip Doganis and Haralambos Sarimveis (National Technical University of Athens, Greece)
The ModelRX case study contributes to OpenRiskNet by providing:
- computational methods to support suitability assessment of existing data and identification of analogues;
predictive modelling functionalities, which are essential in the field of final risk assessment.
During the webinar, we will focus on the Jaqpot platform within the ModelRX case study. Starting from a dataset in Jaqpot v4 at http://www.jaqpot.org, we will apply an algorithm to create a model and get predictions, which are accompanied by QPRF (QSAR prediction reporting format) report.
We will also introduce the new Jaqpot v5 GUI (Graphical User Interface) at https://app.jaqpot.org that allows users easy upload of models they have developed in their own Python or R environment, make them available as web services and offers powerful sharing functionalities of online resources.