Project DDASSL ˝Drug Design And Semi-Supervised Learning (NSF/KDD IIS-9979860)
Collaborative effort between three research groups in different departments at RPI.
Goals include the rapid development of bioactivity screening and QSAR models through data mining of large databases.
To achieve these goals, the DDASSL group is developing novel descriptors, feature selection techniques and classification methods.
Methods are currently being tested on smaller datasets to determine their reliability before proceeding to larger datasets.