title: Visualization of Activity Landscapes and Chemogenomics Data.
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.
authors.affiliation: Department 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.
authors.forename: Ye
authors.initials: Y
authors.lastname: Hu
authors.affiliation: Department 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.
authors.forename: Dagmar
authors.initials: D
authors.lastname: Stumpfe
authors.affiliation: Department 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. bajorath@bit.uni-bonn.de.
authors.forename: Jürgen
authors.initials: J
authors.lastname: Bajorath
keywords: Activity landscapes; Chemogenomics; Compound profiling; Data mining; High-dimensional bioactivity spaces; Network representations; Visualization methods