Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks
about
Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive ReviewRechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction NetworksA New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein ComplexesIdentifying hierarchical and overlapping protein complexes based on essential protein-protein interactions and "seed-expanding" method.Identification of essential proteins based on ranking edge-weights in protein-protein interaction networks.Prediction of disease genes using tissue-specified gene-gene networkPrediction of disease-related genes based on weighted tissue-specific networks by using DNA methylationPrediction of essential proteins based on gene expression programmingIdentifying essential proteins from active PPI networks constructed with dynamic gene expressionIdentification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.Predicting essential proteins based on subcellular localization, orthology and PPI networks.Computational approaches to predicting essential proteins: a survey.Predicting human protein subcellular locations by the ensemble of multiple predictors via protein-protein interaction network with edge clustering coefficients.Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks.A new computational strategy for identifying essential proteins based on network topological properties and biological informationDrug target prioritization by perturbed gene expression and network information.Protein-protein interactions: detection, reliability assessment and applications.Accurate prediction of human essential genes using only nucleotide composition and association information.FunPred-1: protein function prediction from a protein interaction network using neighborhood analysis.DiffSLC: A graph centrality method to detect essential proteins of a protein-protein interaction network.A new method for predicting essential proteins based on participation degree in protein complex and subgraph density.Improved flower pollination algorithm for identifying essential proteins.
P2860
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P2860
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks
description
2012 nî lūn-bûn
@nan
2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
name
Iteration method for predictin ...... n-protein interaction networks
@ast
Iteration method for predictin ...... n-protein interaction networks
@en
Iteration method for predictin ...... n-protein interaction networks
@nl
type
label
Iteration method for predictin ...... n-protein interaction networks
@ast
Iteration method for predictin ...... n-protein interaction networks
@en
Iteration method for predictin ...... n-protein interaction networks
@nl
prefLabel
Iteration method for predictin ...... n-protein interaction networks
@ast
Iteration method for predictin ...... n-protein interaction networks
@en
Iteration method for predictin ...... n-protein interaction networks
@nl
P2093
P2860
P356
P1433
P1476
Iteration method for predictin ...... n-protein interaction networks
@en
P2093
Fang-Xiang Wu
Jianxin Wang
Weiping Wang
P2860
P2888
P356
10.1186/1752-0509-6-87
P577
2012-07-18T00:00:00Z
P5875
P6179
1034819128