Prediction and validation of gene-disease associations using methods inspired by social network analyses
about
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network modelPrediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks.Prediction of disease genes using tissue-specified gene-gene networkXomAnnotate: Analysis of Heterogeneous and Complex Exome- A Step towards Translational Medicine.Disease networks. Uncovering disease-disease relationships through the incomplete interactomeComparative analysis of a novel disease phenotype network based on clinical manifestationsA new method to improve network topological similarity search: applied to fold recognitionKATZLDA: KATZ measure for the lncRNA-disease association prediction.Improved detection of disease-associated variation by sex-specific characterization and prediction of genes required for fertilityA Meta-Path-Based Prediction Method for Human miRNA-Target Association.Drug Response Prediction as a Link Prediction Problem.Progress and challenges in the computational prediction of gene function using networks: 2012-2013 updateNetwork propagation: a universal amplifier of genetic associations.Driver gene classification reveals a substantial overrepresentation of tumor suppressors among very large chromatin-regulating proteins.A knowledge-based approach for predicting gene-disease associations.Inductive matrix completion for predicting gene-disease associations.A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information.Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiationPrediction of microbe-disease association from the integration of neighbor and graph with collaborative recommendation model.Probability-based collaborative filtering model for predicting gene-disease associations.Metrical Consistency NMF for Predicting Gene-Phenotype Associations.The research on gene-disease association based on text-mining of PubMed.Automatic extraction of gene-disease associations from literature using joint ensemble learningA Network Pharmacology Approach to Uncover the Molecular Mechanisms of Herbal Formula Ban-Xia-Xie-Xin-Tang
P2860
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P2860
Prediction and validation of gene-disease associations using methods inspired by social network analyses
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Prediction and validation of g ...... red by social network analyses
@ast
Prediction and validation of g ...... red by social network analyses
@en
Prediction and validation of g ...... red by social network analyses
@nl
type
label
Prediction and validation of g ...... red by social network analyses
@ast
Prediction and validation of g ...... red by social network analyses
@en
Prediction and validation of g ...... red by social network analyses
@nl
prefLabel
Prediction and validation of g ...... red by social network analyses
@ast
Prediction and validation of g ...... red by social network analyses
@en
Prediction and validation of g ...... red by social network analyses
@nl
P2093
P2860
P3181
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P1476
Prediction and validation of g ...... red by social network analyses
@en
P2093
Ambuj Tewari
Edward M Marcotte
John O Woods
Nagarajan Natarajan
U Martin Singh-Blom
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0058977
P407
P577
2013-01-01T00:00:00Z