Generative Topographic Mapping for Dimension Reduction in Engineering Design

2010 ◽  
pp. 204-207 ◽  
Author(s):  
Asha Viswanath ◽  
Alexander I. J. Forrester ◽  
Andy J. Keane
Keyword(s):  
Dimension Reduction ◽  
Engineering Design ◽  
Topographic Mapping ◽  
Generative Topographic Mapping

Developments of the generative topographic mapping

1998 ◽  
Vol 21 (1-3) ◽  
pp. 203-224 ◽  
Author(s):  
Christopher M. Bishop ◽  
Markus Svensén ◽  
Christopher K.I. Williams
Keyword(s):  
Topographic Mapping ◽  
Generative Topographic Mapping

Kernel Generative Topographic Mapping of Protein Sequences

2012 ◽  
pp. 195-208
Author(s):  
M.I. Cardenas ◽  
A. Vellido ◽  
I. Olier ◽  
X. Rovira ◽  
J. Giraldo
Keyword(s):  
Data Analysis ◽  
Kernel Method ◽  
Protein Sequences ◽  
Topographic Mapping ◽  
Complex Data ◽  
Generative Topographic Mapping ◽  
Protein Amino Acid ◽  
Genomics And Proteomics ◽  
The World ◽  
Symbolic Sequences

The world of pharmacology is becoming increasingly dependent on the advances in the fields of genomics and proteomics. The –omics sciences bring about the challenge of how to deal with the large amounts of complex data they generate from an intelligence data analysis perspective. In this chapter, the authors focus on the analysis of a specific type of proteins, the G protein-couple receptors, which are the target for over 15% of current drugs. They describe a kernel method of the manifold learning family for the analysis of protein amino acid symbolic sequences. This method sheds light on the structure of protein subfamilies, while providing an intuitive visualization of such structure.

Predictive cartography of metal binders using generative topographic mapping

2017 ◽  
Vol 31 (8) ◽  
pp. 701-714 ◽  
Author(s):  
Igor I. Baskin ◽  
Vitaly P. Solov’ev ◽  
Alexander A. Bagatur’yants ◽  
Alexandre Varnek
Keyword(s):  
Topographic Mapping ◽  
Generative Topographic Mapping

scholarly journals Generative topographic mapping in drug design

2019 ◽  
Vol 32-33 ◽  
pp. 99-107 ◽  
Author(s):  
Dragos Horvath ◽  
Gilles Marcou ◽  
Alexandre Varnek
Keyword(s):  
Drug Design ◽  
Topographic Mapping ◽  
Generative Topographic Mapping

scholarly journals De Novo Molecular Design by Combining Deep Autoencoder Recurrent Neural Networks with Generative Topographic Mapping

2019 ◽  
Vol 59 (3) ◽  
pp. 1182-1196 ◽  
Author(s):  
Boris Sattarov ◽  
Igor I. Baskin ◽  
Dragos Horvath ◽  
Gilles Marcou ◽  
Esben Jannik Bjerrum ◽  
...  
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
De Novo ◽  
Molecular Design ◽  
Topographic Mapping ◽  
Generative Topographic Mapping ◽  
De Novo Molecular Design
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