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Machine learning prediction of skin penetration.

The aim of this project is to build a simple computational model that will predict skin penetration (kp-value) by chemical compounds. Therefore visual data mining using parallel coordinates, and filters in Weka software will be used. (Contact: dmitri.stepanov@fu-berlin.de)