Visualization of Activity Landscapes and Chemogenomics Data
Ye Hu1, Dagmar Stumpfe1, Jürgen Bajorath2
1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany tel: +49-228-2699-306; fax: +49-228-2699-341.
Molecular Informatics
|August 3, 2016
Abstract:
Chemogenomics data are often difficult to analyze, given their large amounts, heterogeneity, and multi-dimensional nature. Network representations and other graphical methods are utilized to aid in data analysis. This review covers several recently introduced visualization methods for multi- or high-dimensional compound activity data that are designed for specific applications.


