Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three‐state secondary …
predicting structural properties of proteins. SPINE is applied to three‐state secondary …
Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training
O Dor, Y Zhou - Proteins, 2007 - pubmed.ncbi.nlm.nih.gov
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three-state secondary …
predicting structural properties of proteins. SPINE is applied to three-state secondary …
[PDF][PDF] Achieving 80% Ten-fold Cross-validated Accuracy for Secondary Structure Prediction by Large-scale Training
O Dor, Y Zhou - PROTEINS: Structure, Function, and Bioinformatics, 2007 - Citeseer
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three-state secondary …
predicting structural properties of proteins. SPINE is applied to three-state secondary …
[PDF][PDF] Achieving 80% Ten-fold Cross-validated Accuracy for Secondary Structure Prediction by Large-scale Training
O Dor, Y Zhou - PROTEINS: Structure, Function, and Bioinformatics, 2007 - academia.edu
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three-state secondary …
predicting structural properties of proteins. SPINE is applied to three-state secondary …
Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training.
O Dor, Y Zhou - Proteins, 2007 - europepmc.org
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three-state secondary …
predicting structural properties of proteins. SPINE is applied to three-state secondary …
Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training
O Dor, Y Zhou - Proteins: Structure, Function, and Bioinformatics, 2007 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> An integrated system of neural networks,
called SPINE, is established and optimized for predicting structural properties of proteins …
called SPINE, is established and optimized for predicting structural properties of proteins …
[PDF][PDF] Achieving 80% Ten-fold Cross-validated Accuracy for Secondary Structure Prediction by Large-scale Training
O Dor, Y Zhou - PROTEINS: Structure, Function, and Bioinformatics, 2007 - academia.edu
An integrated system of neural networks, called SPINE, is established and optimized for
predicting structural properties of proteins. SPINE is applied to three-state secondary …
predicting structural properties of proteins. SPINE is applied to three-state secondary …