Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, JJ Merelo - Protein Engineering, Design and …, 1993 - academic.oup.com
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

[引用][C] Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón, JJ Merelo… - … Engineering, Design and …, 1993 - cir.nii.ac.jp
Evaluation of secondary structure of proteins from UV circular dichroism spectra using an
unsupervised learning neural network | CiNii Research CiNii 国立情報学研究所 学術情報 …

Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacon, JJ Merelo… - … Engineering, Design and …, 1993 - elibrary.ru
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

[引用][C] Evaluation of secondary structure of proteins from uv circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón… - Protein Engineering …, 1993 - produccioncientifica.ucm.es

[引用][C] Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA ANDRADE, P CHACON… - Protein engineering …, 1993 - pascal-francis.inist.fr
Evaluation of secondary structure of proteins from UV circular dichroism spectra using an
unsupervised learning neural network CNRS Inist Pascal-Francis CNRS Pascal and …

[PDF][PDF] Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón, JJ Merelo, F Morán - Protein Engineering, 1993 - chaconlab.org
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network.

MA Andrade, P Chacón, JJ Merelo, F Morán - Protein Engineering, 1993 - europepmc.org
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón, JJ Merelo… - Protein …, 1993 - pubmed.ncbi.nlm.nih.gov
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

[PDF][PDF] Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón, JJ Merelo, F Morán - Protein Engineering, 1993 - researchgate.net
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …

[PDF][PDF] Evaluation of secondary structure of proteins from UV circular dichroism spectra using an unsupervised learning neural network

MA Andrade, P Chacón, JJ Merelo, F Morán - Protein Engineering, 1993 - chaconlab.org
An optimized self-organizing map algorithm has been used to obtain protein topological
(proteinotopic) maps. A neural network is able to arrange a set of proteins depending on …