Cargando…

A Novel Method for Identifying Essential Proteins Based on Non-negative Matrix Tri-Factorization

Identification of essential proteins is very important for understanding the basic requirements to sustain a living organism. In recent years, there has been an increasing interest in using computational methods to predict essential proteins based on protein–protein interaction (PPI) networks or fus...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Zhihong, Jiang, Meiping, Wu, Dongjie, Zhang, Wang, Yan, Wei, Qu, Xilong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378176/ https://www.ncbi.nlm.nih.gov/pubmed/34422014 http://dx.doi.org/10.3389/fgene.2021.709660

Ejemplares similares

TriPCE: A Novel Tri-Clustering Algorithm for Identifying Pan-Cancer Epigenetic Patterns
por: Gan, Yanglan, et al.
Publicado: (2020)

NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer
por: Ding, Qian, et al.
Publicado: (2021)

A Novel Computational Approach for Identifying Essential Proteins From Multiplex Biological Networks
por: Zhao, Bihai, et al.
Publicado: (2020)

CBP-JMF: An Improved Joint Matrix Tri-Factorization Method for Characterizing Complex Biological Processes of Diseases
por: Wang, Bingbo, et al.
Publicado: (2021)

Integrative Analysis for Identifying Co-Modules of Microbe-Disease Data by Matrix Tri-Factorization With Phylogenetic Information
por: Ma, Yuanyuan, et al.
Publicado: (2020)

A Novel Collaborative Filtering Model-Based Method for Identifying Essential Proteins
por: Zhu, Xianyou, et al.
Publicado: (2021)

Method for Identifying Essential Proteins by Key Features of Proteins in a Novel Protein-Domain Network
por: He, Xin, et al.
Publicado: (2021)

Scalable non-negative matrix tri-factorization
por: Čopar, Andrej, et al.
Publicado: (2017)

Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction
por: Ma, Yingjun, et al.
Publicado: (2019)

Fast optimization of non-negative matrix tri-factorization
por: Čopar, Andrej, et al.
Publicado: (2019)

The Molecular Chaperone CCT/TRiC: An Essential Component of Proteostasis and a Potential Modulator of Protein Aggregation
por: Grantham, Julie
Publicado: (2020)

A Novel Model for Identifying Essential Proteins Based on Key Target Convergence Sets
por: Peng, Jiaxin, et al.
Publicado: (2021)

A new gene-scoring method for uncovering novel glaucoma-related genes using non-negative matrix factorization based on RNA-seq data
por: Huang, Xiaoqin, et al.
Publicado: (2023)

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square
por: Zhao, Yan, et al.
Publicado: (2018)

Method for Essential Protein Prediction Based on a Novel Weighted Protein-Domain Interaction Network
por: Meng, Zixuan, et al.
Publicado: (2021)

Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization
por: He, Bin-Sheng, et al.
Publicado: (2018)

Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis
por: Wang, Chuan-Yuan, et al.
Publicado: (2019)

Predicting lincRNA-Disease Association in Heterogeneous Networks Using Co-regularized Non-negative Matrix Factorization
por: Lin, Yong, et al.
Publicado: (2021)

3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection
por: Mallik, Saurav, et al.
Publicado: (2023)

Systematic Characterization of Expression Profiles and Prognostic Values of the Eight Subunits of the Chaperonin TRiC in Breast Cancer
por: Xu, Wen-Xiu, et al.
Publicado: (2021)

Shared and Cell-Type-Specific Gene Expression Patterns Associated With Autism Revealed by Integrative Regularized Non-Negative Matrix Factorization
por: Guan, Jinting, et al.
Publicado: (2022)

Comprehensive analysis of a novel cuproptosis-related lncRNA signature associated with prognosis and tumor matrix features to predict immunotherapy in soft tissue carcinoma
por: Liu, Binfeng, et al.
Publicado: (2022)

A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations
por: Zhang, Yulin, et al.
Publicado: (2020)

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function
por: Lu, Conghai, et al.
Publicado: (2020)

Identifying Potential miRNAs–Disease Associations With Probability Matrix Factorization
por: Xu, Junlin, et al.
Publicado: (2019)

Identifying lncRNA–disease association based on GAT multiple-operator aggregation and inductive matrix completion
por: Zhang, Yi, et al.
Publicado: (2022)

An iteration method for identifying yeast essential proteins from heterogeneous network
por: Zhao, Bihai, et al.
Publicado: (2019)

Stemness analysis in hepatocellular carcinoma identifies an extracellular matrix gene–related signature associated with prognosis and therapy response
por: Chen, Lei, et al.
Publicado: (2022)

Matrix Metalloproteinases in Relation to Bone Mineral Density: A Two-Sample Mendelian Randomization Study
por: Lv, Xin, et al.
Publicado: (2021)

Integration of RNA molecules data with prior-knowledge driven Joint Deep Semi-Negative Matrix Factorization for heart failure study
por: Ma, Zhihui, et al.
Publicado: (2022)

DSPLMF: A Method for Cancer Drug Sensitivity Prediction Using a Novel Regularization Approach in Logistic Matrix Factorization
por: Emdadi, Akram, et al.
Publicado: (2020)

Novel Variant Expands the Clinical Spectrum of CUX2-Associated Developmental and Epileptic Encephalopathies
por: Zhang, Feng, et al.
Publicado: (2022)

Genome-wide association study of HLA-DQB1*06:02 negative essential hypersomnia
por: Khor, Seik-Soon, et al.
Publicado: (2013)

DNA Methylation and Gene Expression of Matrix Metalloproteinase 9 Gene in Deficit and Non-deficit Schizophrenia
por: Gao, Ju, et al.
Publicado: (2018)

Whole Exome Sequencing Identifies Genes Associated With Non-Obstructive Azoospermia
por: Zhang, Hongguo, et al.
Publicado: (2022)

LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding
por: Qu, Yu, et al.
Publicado: (2018)

A cross-tissue transcriptome association study identifies key genes in essential hypertension
por: Huang, Sihui, et al.
Publicado: (2023)

Corrigendum: DNA Methylation and Gene Expression of Matrix Metalloproteinase 9 Gene in Deficit and Non-deficit Schizophrenia
por: Gao, Ju, et al.
Publicado: (2020)

Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
por: Chen, Donglai, et al.
Publicado: (2019)

Overlapping functional modules detection in PPI network with pair‐wise constrained non‐negative matrix tri‐factorisation
por: Liu, Guangming, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_tec5g4cp0fk2si0d2lnrkvuhqo