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OCHEM was designed as a user-friendly web tool for model development.

It provides an access to about 10 different machine learning methods and more than 20 different descriptors.

OCHEM can easily develop models with >300k molecules and has handled data matrices with up to 2*1011 entries (~300k molecules X 700,000 descriptors). For analysis of ToxCast data more than 20k models were developed as analysed elsewhere.

The following tutorial explains the development of models using OCHEM.

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