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Can I read Self-Organizing Maps for In Silico Screening and Data Visualization on EtoBox?
Self-Organizing Maps for In Silico Screening and Data Visualization by Daniela Digles; Gerhard F. Ecker is a Computer Science article available to read on EtoBox.
What is Self-Organizing Maps for In Silico Screening and Data Visualization about?
## 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.
Who reads Self-Organizing Maps for In Silico Screening and Data Visualization?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Daniela Digles; Gerhard F. Ecker
- Publisher
- Wiley (John Wiley & Sons); Wiley - VCH Verlag GmbH & CO. KGaA; Wiley (ISSN 1868-1743)
- Published
- 2011
- Language
- EN
- Field
- Computer Science (Physical Sciences)