Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction.
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2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function.iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approachiDNA-Prot|dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid compositioniPTM-mLys: identifying multiple lysine PTM sites and their different types.A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributesAn Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors.iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC.Transcriptomic and proteomic analyses on the supercooling ability and mining of antifreeze proteins of the Chinese white wax scale insect.Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences.iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory.Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou's General PseAAC via Grey System Theory.iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition.pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.Comparative analysis of housekeeping and tissue-selective genes in human based on network topologies and biological properties.iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition.MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition.iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide compositioniMiRNA-PseDPC: microRNA precursor identification with a pseudo distance-pair composition approach.Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machineiRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC.iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences.iRNA-PseU: Identifying RNA pseudouridine sites.repRNA: a web server for generating various feature vectors of RNA sequences.TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition.V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach.pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information.OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.iAFP-Ense: An Ensemble Classifier for Identifying Antifreeze Protein by Incorporating Grey Model and PSSM into PseAAC.iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets.Applying random forest and subtractive fuzzy c-means clustering techniques for the development of a novel G protein-coupled receptor discrimination method using pseudo amino acid compositions.Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis.A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique.iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.
P2860
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P2860
Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction.
description
2014 nî lūn-bûn
@nan
2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@ast
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@en
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@nl
type
label
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@ast
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@en
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@nl
prefLabel
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@ast
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@en
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@nl
P1476
Chou's pseudo amino acid compo ...... antifreeze protein prediction.
@en
P2093
Priyadarshini P Pai
Sukanta Mondal
P356
10.1016/J.JTBI.2014.04.006
P407
P577
2014-04-13T00:00:00Z