资 源 简 介
QsarDB R API enables non-technical end users to access and modify the contents of existing QsarDB archive directories from within the R statistical programming language environment.
About
Typical QsarDB workflow:
1. Convert an existing QSAR dataset (CSV file, Microsoft Excel or OpenDocument spreadsheet file, SDfile etc.) to a QsarDB archive using QsarDB conversion toolkit.
1. Define Model and Prediction skeleton objects using QsarDB management toolkit.
1. Develop and serialize R native model as a QsarDB RDS Cargo. Perform training and any number of validation runs and serialize the predicted values as QsarDB Value Cargos.
1. Verify the QsarDB archive using QsarDB prediction toolkit.
1. Use the QsarDB archive for predictions using the QsarDB prediction toolkit a
