Related Experiment Video
Updated: Mar 17, 2026
Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
Published on: October 28, 2018
Self-Organizing Maps for In Silico Screening and Data Visualization
Daniela Digles1, Gerhard F Ecker2
1Department of Medicinal Chemistry, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria phone/fax: +43-1-4277-55110/+43-1-4277-9551.
Abstract:
Self-organizing maps, which are unsupervised artificial neural networks, have become a very useful tool in a wide area of disciplines, including medicinal chemistry. Here, we will focus on two applications of self-organizing maps: the use of self-organizing maps for in silico screening and for clustering and visualisation of large datasets. Additionally, the importance of parameter selection is discussed and some modifications to the original algorithm are summarised.
