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Title
An ensemble framework for identifying essential proteins
Authors
Keywords
Essential protein, Protein-protein interaction networks, Centrality measure, Ensemble learning, Gene expression
Journal
BMC BIOINFORMATICS
Volume 17, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-08-25
DOI
10.1186/s12859-016-1166-7
References
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Related references
Note: Only part of the references are listed.- United Complex Centrality for Identification of Essential Proteins from PPI Networks
- (2017) Min Li et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review
- (2016) Xue Zhang et al. Frontiers in Physiology
- CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks
- (2015) Yu Tang et al. BIOSYSTEMS
- Identifying essential proteins from active PPI networks constructed with dynamic gene expression
- (2015) Qianghua Xiao et al. BMC GENOMICS
- A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks
- (2015) Min Li et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Discovering essential proteins based on PPI network and protein complex
- (2015) Jun Ren et al. International Journal of Data Mining and Bioinformatics
- A feature selection method for prediction essential protein
- (2015) Jiancheng Zhong et al. TSINGHUA SCIENCE AND TECHNOLOGY
- [Front cover]
- (2014) IEEE TRANSACTIONS ON NANOBIOSCIENCE
- Effective identification of essential proteins based on priori knowledge, network topology and gene expressions
- (2014) Min Li et al. METHODS
- A New Method for the Discovery of Essential Proteins
- (2013) Xue Zhang et al. PLoS One
- A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
- (2012) Min Li et al. BMC Systems Biology
- Computational approaches to predicting essential proteins: A survey
- (2012) Jianxin Wang et al. Proteomics Clinical Applications
- IDENTIFICATION OF ESSENTIAL PROTEINS FROM WEIGHTED PROTEIN–PROTEIN INTERACTION NETWORKS
- (2012) MIN LI et al. Journal of Bioinformatics and Computational Biology
- Comparative genomics allowed the identification of drug targets against human fungal pathogens
- (2011) Ana Karina R Abadio et al. BMC GENOMICS
- A local average connectivity-based method for identifying essential proteins from the network level
- (2011) Min Li et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Identification of Essential Proteins Based on Edge Clustering Coefficient
- (2011) Jianxin Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Defining the Role of Essential Genes in Human Disease
- (2011) Jonathan E. Dickerson et al. PLoS One
- Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology
- (2010) Kang Ning et al. BMC BIOINFORMATICS
- Struct2Net: a web service to predict protein-protein interactions using a structure-based approach
- (2010) R. Singh et al. NUCLEIC ACIDS RESEARCH
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information
- (2009) Marcio L Acencio et al. BMC BIOINFORMATICS
- Identifying Hubs in Protein Interaction Networks
- (2009) Ravishankar R. Vallabhajosyula et al. PLoS One
- DEG 5.0, a database of essential genes in both prokaryotes and eukaryotes
- (2008) R. Zhang et al. NUCLEIC ACIDS RESEARCH
- High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
- (2008) H. Yu et al. SCIENCE
- Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality
- (2008) Elena Zotenko et al. PLoS Computational Biology
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