FCTP-WSRC: Protein–Protein Interactions Prediction via Weighted Sparse Representation Based Classification
出版年份 2020 全文链接
标题
FCTP-WSRC: Protein–Protein Interactions Prediction via Weighted Sparse Representation Based Classification
作者
关键词
-
出版物
Frontiers in Genetics
Volume 11, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2020-02-04
DOI
10.3389/fgene.2020.00018
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Protein–protein interactions prediction based on ensemble deep neural networks
- (2018) Long Zhang et al. NEUROCOMPUTING
- Computational prediction of therapeutic peptides based on graph index
- (2017) Chunrui Xu et al. JOURNAL OF BIOMEDICAL INFORMATICS
- DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks
- (2017) Xiuquan Du et al. Journal of Chemical Information and Modeling
- Protein Sequence Comparison Based on Physicochemical Properties and the Position-Feature Energy Matrix
- (2017) Lulu Yu et al. Scientific Reports
- EFS: an ensemble feature selection tool implemented as R-package and web-application
- (2017) Ursula Neumann et al. BioData Mining
- Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene–gene interactions
- (2017) Cheng-Hong Yang et al. Scientific Reports
- A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes
- (2016) Li-Yeh Chuang et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding
- (2016) Yu-An Huang et al. BMC BIOINFORMATICS
- Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features
- (2016) Yu-An Huang et al. NEUROCOMPUTING
- Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model
- (2016) Ji-Yong An et al. PROTEIN SCIENCE
- Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks
- (2015) Su-Ping Deng et al. BMC GENOMICS
- Identification of Protein–Protein Interactions by Detecting Correlated Mutation at the Interface
- (2015) Fei Guo et al. Journal of Chemical Information and Modeling
- Weighted sparse representation for face recognition
- (2015) Zizhu Fan et al. NEUROCOMPUTING
- Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines
- (2015) Zhu-Hong You et al. Biomed Research International
- 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
- 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
- q-Wiener index of some compound trees
- (2012) Jiaguo Liu et al. APPLIED MATHEMATICS AND COMPUTATION
- Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM
- (2012) Shengli Zhang et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- PIE the search: searching PubMed literature for protein interaction information
- (2011) Sun Kim et al. BIOINFORMATICS
- Large-Scale Prediction of Human Protein−Protein Interactions from Amino Acid Sequence Based on Latent Topic Features
- (2010) Xiao-Yong Pan et al. JOURNAL OF PROTEOME RESEARCH
- Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors
- (2010) Lei Yang et al. PROTEIN AND PEPTIDE LETTERS
- 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
- Optimizing amino acid groupings for GPCR classification
- (2008) M. N. Davies et al. BIOINFORMATICS
- Prediction of protein allergenicity using local description of amino acid sequence
- (2008) Joo Chuan Tong Frontiers in Bioscience-Landmark
- A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks
- (2008) De-Shuang Huang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- (2008) Yanzhi Guo et al. NUCLEIC ACIDS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started