FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation
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Title
FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation
Authors
Keywords
-
Journal
Interdisciplinary Sciences-Computational Life Sciences
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-11-07
DOI
10.1007/s12539-021-00489-6
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Note: Only part of the references are listed.- Identifying DNA ‐binding proteins based on multi‐features and LASSO feature selection
- (2021) Shengli Zhang et al. BIOPOLYMERS
- Identification of DNA-binding proteins via Hypergraph based Laplacian Support Vector Machine
- (2021) Yuqing Qian et al. Current Bioinformatics
- UMAP-DBP: An Improved DNA-Binding Proteins Prediction Method Based on Uniform Manifold Approximation and Projection
- (2021) Jinyue Wang et al. PROTEIN JOURNAL
- MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description
- (2020) Yi Zou et al. Current Bioinformatics
- StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
- (2020) Qingmei Zhang et al. APPLIED SOFT COMPUTING
- Identification of DNA-binding proteins by multiple kernel support vector machine and sequence information
- (2019) Yijie Ding et al. Current Proteomics
- MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
- (2019) Xiuquan Du et al. JOURNAL OF PROTEOME RESEARCH
- FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule
- (2019) Yi Zou et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Intuitionistic Fuzzy Twin Support Vector Machines
- (2019) Salim Rezvani et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion
- (2019) Hao Wang et al. NEUROCOMPUTING
- DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC
- (2018) M. Saifur Rahman et al. JOURNAL OF THEORETICAL BIOLOGY
- Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species
- (2018) Leyi Wei et al. BIOINFORMATICS
- A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers
- (2018) Xiu-Juan Liu et al. Genes
- Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
- (2018) Sheikh Adilina et al. JOURNAL OF THEORETICAL BIOLOGY
- Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
- (2017) Leyi Wei et al. INFORMATION SCIENCES
- Kernel learning and optimization with Hilbert–Schmidt independence criterion
- (2017) Tinghua Wang et al. International Journal of Machine Learning and Cybernetics
- A new fuzzy twin support vector machine for pattern classification
- (2017) Su-Gen Chen et al. International Journal of Machine Learning and Cybernetics
- DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation
- (2015) Bin Liu et al. Scientific Reports
- 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
- PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou’s PseAAC and Physicochemical Distance Transformation
- (2014) Bin Liu et al. Molecular Informatics
- Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes
- (2014) Wangchao Lou et al. PLoS One
- iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition
- (2014) Bin Liu et al. PLoS One
- DNA-Prot: Identification of DNA Binding Proteins from Protein Sequence Information using Random Forest
- (2012) K. Krishna. Kumar et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Wavelet images and Chou’s pseudo amino acid composition for protein classification
- (2011) Loris Nanni et al. AMINO ACIDS
- Improvements on Twin Support Vector Machines
- (2011) Yuan-Hai Shao et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
- (2011) Wei-Zhong Lin et al. PLoS One
- On Position-Specific Scoring Matrix for Protein Function Prediction
- (2010) Jong Cheol Jeong et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Robust Face Recognition via Sparse Representation
- (2009) J. Wright et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Protein functional class prediction using global encoding of amino acid sequence
- (2009) Xi Li et al. JOURNAL OF THEORETICAL BIOLOGY
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