<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition"</p><p>http://www.biomedcentral.com/1471-2105/8/S4/S2</p><p>BMC Bioinformatics 2007;8(Suppl 4):S2-S2.</p><p>Published online 22 May 2007</p><p>PMCID:PMC1892081.</p><p></p>box for learning weights is illustrated in detail in Figure 3
AbstractThe recognition of protein folds is an important step in the prediction of protein structure...
Protein fold classification is a key step to predicting protein tertiary structures. This paper prop...
Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. ...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
Motivation: Protein remote homology prediction and recognition are central problems in computational...
Background: Predicting a protein's structural class from its amino acid sequence is a fundamental pr...
Protein fold recognition has been the focus of computa-tional biologists for many years. In order to...
<p><b>Copyright information:</b></p><p>Taken from "Predicting and improving the protein sequence ali...
Fold recognition, assigning novel proteins to known structures, forms an important component of the ...
Knowledge of the three-dimensional structure of a protein is essential for describing and understand...
Motivation: What constitutes a baseline level of success for protein fold recognition methods? As fo...
SVM is one of the most widely used and powerful classification algorithms to predict protein structu...
Abstract-Machine learning technique is introduced as a method for the classification of proteins int...
AbstractThe recognition of protein folds is an important step in the prediction of protein structure...
Protein fold classification is a key step to predicting protein tertiary structures. This paper prop...
Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. ...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
<p><b>Copyright information:</b></p><p>Taken from "SVM-Fold: a tool for discriminative multi-class p...
Motivation: Protein remote homology prediction and recognition are central problems in computational...
Background: Predicting a protein's structural class from its amino acid sequence is a fundamental pr...
Protein fold recognition has been the focus of computa-tional biologists for many years. In order to...
<p><b>Copyright information:</b></p><p>Taken from "Predicting and improving the protein sequence ali...
Fold recognition, assigning novel proteins to known structures, forms an important component of the ...
Knowledge of the three-dimensional structure of a protein is essential for describing and understand...
Motivation: What constitutes a baseline level of success for protein fold recognition methods? As fo...
SVM is one of the most widely used and powerful classification algorithms to predict protein structu...
Abstract-Machine learning technique is introduced as a method for the classification of proteins int...
AbstractThe recognition of protein folds is an important step in the prediction of protein structure...
Protein fold classification is a key step to predicting protein tertiary structures. This paper prop...
Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. ...