Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

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Multi-Class Protein Subcellular Localization Prediction using Support Vector Machines

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Prediction of Subcellular Location for Apoptosis Proteins by Dual-layer Support Vector Machine Based on Multiple Compositions

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Predicting Protein Subcellular Localization Using the Algorithm of Increment of Diversity Combined with Weighted K-Nearest Neighbor

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Predicting protein subcellular location based on improved quadratic discriminant

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Predicting mouse transmembrane protein types based on the increment of diversity combined with the support vector machine

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SVM Model for Amino Acid Composition Based Prediction of MMPs and ADAMs

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Predicting Subcellular Locations of Eukaryotic Proteins Using Bayesian and k-Nearest Neighbor Classifiers

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Using genetic algorithm and maximum clique to design multiplex PCR primers for sequential deletion applications

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PRGPred: A platform for prediction of domains of resistance gene analogue (RGA) in Arecaceae developed by using machine learning algorithms

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Comparison and Analysis of Computational Methods for Identifying N6-Methyladenosine Sites in Saccharomyces cerevisiae

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Human protein subcellular localization prediction based on error correcting output coding strategy while combining immunohistochemistry image and amino acid sequence

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Feature Subset Selection for Protein Subcellular Localization Prediction

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Characterization and Prediction of Dengue Virus targeting peptides based on three class of descriptors using k-NN and Random Forest algorithm.Preprint

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Protein Interactome and Its Application to Protein Function Prediction

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Protein Domains as Evolutionary Units

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Prediction Of Membrane Proteins Using Machine Learning Approaches

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Predicting important classes of chemokine family based on kernel method

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Progress in Machine Learning-based Predicting Subcellular Localizations of Proteins with Multiple Sites

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Predicting Protein Subcellular Localization Using the Algorithm of Diversity Finite Coefficient Combined with Artificial Neural Network

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Interrogating noise in protein sequences from the perspective of protein–protein interactions prediction

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Identifying protein submitochondrial location by using features of sequence

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Subcellular localization prediction of eukaryotic proteins using functional domain frequency measure

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Explore the domain features of co-regulation proteins, co-interaction proteins and co-regulation & Co-interaction proteins

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Automatic Prediction of Enzyme Functions from Domain Compositions Using Enzyme Reaction Prediction Scheme

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A novel ensemble approach to prediction of protein subcellular location

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Multi-Label Learning for Prediction of Subcellular Localization of Human Proteins

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Prediction of Membrane Protein Types by Using Support Vector Machine Based on Composite Vector

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Prediction of Protein Quaternary Structural Type with Functional Domain and Pseudo Amino Acid Composition

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Prediction of Presynaptic and Postsynaptic Neurotoxins Using Hybrid Approach and Pseudo Amino Acid Composition

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