Achieving 80% ten‐fold cross‐validated accuracy for secondary structure prediction by large‐scale training

O Dor, Y Zhou - Proteins: Structure, Function, and …, 2007 - Wiley Online Library
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 …
被引用次数：177 相关文章

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 …

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 …
[PDF] academia.edu

[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 …

[引用][C] Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training

O Dor, Y Zhou - Proteins: Structure, Function, and Bioinformatics, 2006 - cir.nii.ac.jp
Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale
training | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 論文・データを …
[PDF] psu.edu

[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 …
[PDF] academia.edu

[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 …