Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM
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Title
Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM
Authors
Keywords
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Journal
MOLECULES
Volume 22, Issue 8, Pages 1366
Publisher
MDPI AG
Online
2017-08-21
DOI
10.3390/molecules22081366
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Note: Only part of the references are listed.- PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences
- (2017) Yanbin Wang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- iRNA-2methyl: Identify RNA 2'-O-methylation Sites by Incorporating Sequence-Coupled Effects into General PseKNC and Ensemble Classifier
- (2017) Wang-Ren Qiu et al. Medicinal Chemistry
- Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network
- (2017) Yan-Bin Wang et al. Molecular BioSystems
- iRSpot-EL: identify recombination spots with an ensemble learning approach
- (2016) Bin Liu et al. BIOINFORMATICS
- iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework
- (2016) Bin Liu et al. BIOINFORMATICS
- iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory
- (2016) Wang-Ren Qiu et al. Molecular Informatics
- iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets
- (2016) Jianhua Jia et al. MOLECULES
- A novel features ranking metric with application to scalable visual and bioinformatics data classification
- (2016) Quan Zou et al. NEUROCOMPUTING
- iPhos-PseEn: Identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
- (2016) Wang-Ren Qiu et al. Oncotarget
- iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC
- (2016) Wang-Ren Qiu et al. Oncotarget
- HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy
- (2015) Quan Zou et al. BIOINFORMATICS
- Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors
- (2015) Leon Wong et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition
- (2015) Jianhua Jia et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC
- (2015) Jianhua Jia et al. JOURNAL OF THEORETICAL BIOLOGY
- Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
- (2015) Bin Liu et al. NUCLEIC ACIDS RESEARCH
- repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects
- (2014) Bin Liu et al. BIOINFORMATICS
- Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set
- (2014) Zhu-Hong You et al. BMC BIOINFORMATICS
- iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition
- (2014) Hao Lin et al. NUCLEIC ACIDS RESEARCH
- Large-Scale Protein-Protein Interactions Detection by Integrating Big Biosensing Data with Computational Model
- (2014) Zhu-Hong You et al. Biomed Research International
- Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
- (2013) Zhu-Hong You et al. BMC BIOINFORMATICS
- Survey of MapReduce frame operation in bioinformatics
- (2013) Q. Zou et al. BRIEFINGS IN BIOINFORMATICS
- miRClassify: An advanced web server for miRNA family classification and annotation
- (2013) Quan Zou et al. COMPUTERS IN BIOLOGY AND MEDICINE
- iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition
- (2013) Wei Chen et al. NUCLEIC ACIDS RESEARCH
- Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection
- (2013) Huanhuan Chen et al. IEEE Transactions on Neural Networks and Learning Systems
- A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
- (2012) Alok Sharma et al. JOURNAL OF THEORETICAL BIOLOGY
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions
- (2011) Hui Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network
- (2010) Zhu-Hong You et al. BMC BIOINFORMATICS
- On Position-Specific Scoring Matrix for Protein Function Prediction
- (2010) Jong Cheol Jeong et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors
- (2010) Lei Yang et al. PROTEIN AND PEPTIDE LETTERS
- Blurred Image Recognition by Legendre Moment Invariants
- (2009) Hui Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Probabilistic Classification Vector Machines
- (2009) Huanhuan Chen et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure
- (2009) John A. Capra et al. PLoS Computational Biology
- Real value prediction of protein solvent accessibility using enhanced PSSM features
- (2008) Darby Chang et al. BMC BIOINFORMATICS
- Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- (2008) Yanzhi Guo et al. NUCLEIC ACIDS RESEARCH
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