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pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
Bioinformatics |
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iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
Oncotarget |
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1437 |
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iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
Oncotarget |
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1437 |
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iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC
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1437 |
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iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition iROS-gPseKNC: predicting replication origin sites in DNA by incorporating dinucleotide position-specific propensity into general pseudo nucleotide composition
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1437 |
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iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
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1437 |
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iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
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1437 |
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pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties pRNAm-PC: Predicting N(6)-methyladenosine sites in RNA sequences via physical-chemical properties
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1437 |
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iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition iDNA-Methyl: identifying DNA methylation sites via pseudo trinucleotide composition
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1436 |
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Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition. Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition.
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1436 |
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Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition
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1436 |
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iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
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1436 |
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iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid components iRSpot-TNCPseAAC: identify recombination spots with trinucleotide composition and pseudo amino acid components
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1435 |
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iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking iEzy-Drug: A web server for identifying the interaction between enzymes and drugs in cellular networking
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1434 |
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Recent advances in predicting protein classification and their applications to drug development Recent advances in predicting protein classification and their applications to drug development
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1434 |
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iCDI-PseFpt: identify the channel–drug interaction in cellular networking with PseAAC and molecular fingerprints iCDI-PseFpt: identify the channel–drug interaction in cellular networking with PseAAC and molecular fingerprints
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1434 |
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Predict drug-protein interaction in cellular networking Predict drug-protein interaction in cellular networking
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1434 |
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iGPCR-Drug: A web server for predicting interaction between GPCRs and drugs in cellular networking iGPCR-Drug: A web server for predicting interaction between GPCRs and drugs in cellular networking
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1434 |
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Recent progresses in identifying nuclear receptors and their families Recent progresses in identifying nuclear receptors and their families
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1434 |
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iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types
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1434 |
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