Cargando…

Prediction of essential proteins based on gene expression programming

BACKGROUND: Essential proteins are indispensable for cell survive. Identifying essential proteins is very important for improving our understanding the way of a cell working. There are various types of features related to the essentiality of proteins. Many methods have been proposed to combine some...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhong, Jiancheng, Wang, Jianxin, Peng, Wei, Zhang, Zhen, Pan, Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3856491/ https://www.ncbi.nlm.nih.gov/pubmed/24267033 http://dx.doi.org/10.1186/1471-2164-14-S4-S7

Ejemplares similares

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks
por: Peng, Wei, et al.
Publicado: (2012)

A novel essential protein identification method based on PPI networks and gene expression data
por: Zhong, Jiancheng, et al.
Publicado: (2021)

Identifying essential proteins from active PPI networks constructed with dynamic gene expression
por: Xiao, Qianghua, et al.
Publicado: (2015)

Network Embedding the Protein–Protein Interaction Network for Human Essential Genes Identification
por: Dai, Wei, et al.
Publicado: (2020)

Predicting essential proteins based on subcellular localization, orthology and PPI networks
por: Li, Gaoshi, et al.
Publicado: (2016)

Prediction of essential proteins based on subcellular localization and gene expression correlation
por: Fan, Yetian, et al.
Publicado: (2017)

A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
por: Li, Min, et al.
Publicado: (2012)

An effective method for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation
por: Wang, Jianxin, et al.
Publicado: (2013)

Identifying Dynamic Protein Complexes Based on Gene Expression Profiles and PPI Networks
por: Li, Min, et al.
Publicado: (2014)

Identifying Hierarchical and Overlapping Protein Complexes Based on Essential Protein-Protein Interactions and “Seed-Expanding” Method
por: Ren, Jun, et al.
Publicado: (2014)

Predicting essential proteins by integrating orthology, gene expressions, and PPI networks
por: Zhang, Xue, et al.
Publicado: (2018)

Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data
por: Li, Min, et al.
Publicado: (2012)

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

Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene network
por: Song, Junrong, et al.
Publicado: (2019)

PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences
por: Yan, Cheng, et al.
Publicado: (2020)

Detecting protein complexes from active protein interaction networks constructed with dynamic gene expression profiles
por: Xiao, Qianghua, et al.
Publicado: (2013)

Re-alignment of the unmapped reads with base quality score
por: Peng, Xiaoqing, et al.
Publicado: (2015)

A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein–Protein Interactive Networks
por: Zhang, Fengyu, et al.
Publicado: (2019)

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

Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways
por: Chen, Lei, et al.
Publicado: (2017)

Protein Localization Analysis of Essential Genes in Prokaryotes
por: Peng, Chong, et al.
Publicado: (2014)

Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
por: Zhang, Xue, et al.
Publicado: (2016)

Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison
por: Peng, Wei, et al.
Publicado: (2015)

Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory
por: Luo, Feng, et al.
Publicado: (2007)

Research on the Computational Prediction of Essential Genes
por: Guo, Yuxin, et al.
Publicado: (2021)

A novel method to predict essential proteins based on tensor and HITS algorithm
por: Zhang, Zhihong, et al.
Publicado: (2020)

Corrigendum: Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
por: Zhang, Xue, et al.
Publicado: (2016)

Integration of breast cancer gene signatures based on graph centrality
por: Wang, Jianxin, et al.
Publicado: (2011)

Identification of a methylomics-associated nomogram for predicting overall survival of stage I–II lung adenocarcinoma
por: Wang, Heng, et al.
Publicado: (2021)

A new computational strategy for predicting essential genes
por: Cheng, Jian, et al.
Publicado: (2013)

Prediction and Validation of Mouse Meiosis-Essential Genes Based on Spermatogenesis Proteome Dynamics
por: Fang, Kailun, et al.
Publicado: (2021)

The effects of protein interactions, gene essentiality and regulatory regions on expression variation
por: Zhou, Linqi, et al.
Publicado: (2008)

The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics
por: Yu, Haiyuan, et al.
Publicado: (2007)

Improving protein function prediction using domain and protein complexes in PPI networks
por: Peng, Wei, et al.
Publicado: (2014)

Effects of Cinnamon Essential Oil on Oxidative Damage and Outer Membrane Protein Genes of Salmonella enteritidis Cells
por: Zhang, Zhen, et al.
Publicado: (2022)

SSLpheno: a self-supervised learning approach for gene–phenotype association prediction using protein–protein interactions and gene ontology data
por: Bi, Xuehua, et al.
Publicado: (2023)

Sequence-based information-theoretic features for gene essentiality prediction
por: Nigatu, Dawit, et al.
Publicado: (2017)

Choosing a stable housekeeping gene and protein is essential in generating valid gene and protein expression results
por: Sullivan-Gunn, M, et al.
Publicado: (2011)

Programmed death-ligand 1 expression correlates with diminished CD8+ T cell infiltration and predicts poor prognosis in anal squamous cell carcinoma patients
por: Zhao, Yu-Jie, et al.
Publicado: (2017)

Comparative analysis of gene ontology-based semantic similarity measurements for the application of identifying essential proteins
por: Xue, Xiaoli, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_3olbdq3jj419t0mdvj9dmcccpf