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Protein function prediction

Protein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These… 
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Accession number (bioinformatics)BioinformaticsBlast2GOConcorde TSP Solver

Papers overview

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2014
2014
A novel ant colony optimization based single path hierarchical classification algorithm for predicting gene ontology
2013
2013
Protein Function Prediction Using Dependence Maximization
Protein function prediction is one of the fundamental tasks in the post genomic era. The vast amount of available proteomic data… 
Highly Cited
2012
Highly Cited
2012
Estimating Protein Functions Correlation Based on Overlapping Proteins and Cluster Interactions
Usually, the relations between the protein functions do not be considered into protein function/interaction prediction processes… 
Review
2012
Review
2012
Computational Approaches to Protein Function Prediction
This book provides a comprehensive overview of the field of automated protein function prediction. It covers many techniques for… 
2009
2009
Protein Function Prediction Based on Neighborhood Profiles
The recent advent of high throughput methods has generated large amounts of protein interaction network (PIN) data. A significant… 
2008
2008
Sequential Pattern Mining for Protein Function Prediction
The prediction of protein sequence function is one of the problems arising in the recent progress in bioinformatics. Traditional… 
2006
2006
Decision Tree Classifier for Human Protein Function Prediction
Drug discoverers need to predict the functions of proteins which are responsible for various diseases in human body. The proposed… 
2006
2006
Geometric Sieving: Automated Distributed Optimization of 3D Motifs for Protein Function Prediction
Determining the function of all proteins is a recurring theme in modern biology and medicine, but the sheer number of proteins… 
2004
2004
Inter-element dependency models for sequence classification
Naive Bayes is a fast to train model for sequence classification. We develop and experiment with two methods that are equally… 
2003
2003
Explaining Naive Bayes Classifications
Naive Bayes classifiers, a popular tool for predicting the labels of query instances, are typically learned from a training set… 
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