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Disease networks and their contribution to disease understanding and drug repurposing: Evolution of the concept, techniques and data sources
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Network analysis of FDA approved drugs and their targets
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Integrating Clinical Phenotype and Gene Expression Data to Prioritize Novel Drug Uses
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Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases
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Prioritizing Disease Genes by Bi-Random Walk
inferredcites →https://doi.org/10.1016/j.ebiom.2018.04.002openalex-snapshot
A Systems Approach to Refine Disease Taxonomy by Integrating Phenotypic and Molecular Networks
inferredcites →https://doi.org/10.1016/j.jbi.2011.11.017openalex-snapshot
Finding disease similarity based on implicit semantic similarity
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GWAS-based machine learning approach to predict duloxetine response in major depressive disorder
inferredcites →https://doi.org/10.1016/j.physa.2006.12.021openalex-snapshot
The effect of weight on community structure of networks
inferredcites →https://doi.org/10.1016/j.physrep.2005.10.009openalex-snapshot
Complex networks: Structure and dynamics
inferredcites →https://doi.org/10.1016/j.procs.2017.06.132openalex-snapshot
On the use of Networks in Biomedicine
inferredcites →https://doi.org/10.1038/clpt.2009.103openalex-snapshot
Systematic Evaluation of Drug–Disease Relationships to Identify Leads for Novel Drug Uses
inferredcites →https://doi.org/10.1038/msb.2011.26openalex-snapshot
PREDICT: a method for inferring novel drug indications with application to personalized medicine
inferredcites →https://doi.org/10.1038/msb4100163openalex-snapshot
Human disease classification in the postgenomic era: A complex systems approach to human pathobiology
inferredcites →https://doi.org/10.1038/nrg3337openalex-snapshot
Text-mining solutions for biomedical research: enabling integrative biology
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A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
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An Epidemiological Human Disease Network Derived from Disease Co-occurrence in Taiwan
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A text-mining analysis of the human phenome
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Discovering disease-disease associations by fusing systems-level molecular data
inferredcites →https://doi.org/10.1038/srep10888openalex-snapshot
Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
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DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs
inferredcites →https://doi.org/10.1038/srep36054openalex-snapshot
Network Consistency Projection for Human miRNA-Disease Associations Inference
inferredcites →https://doi.org/10.1039/c2ib00154copenalex-snapshot
Drug repositioning through incomplete bi-cliques in an integrated drug–target–disease network
inferredcites →https://doi.org/10.1039/c2mb00002dopenalex-snapshot
Drug–target interaction prediction by random walk on the heterogeneous network
inferredcites →https://doi.org/10.1056/nejme078114openalex-snapshot
Network Medicine — From Obesity to the “Diseasome”
inferredcites →https://doi.org/10.1073/pnas.0704820104openalex-snapshot
Probing genetic overlap among complex human phenotypes
inferredcites →https://doi.org/10.1073/pnas.0802208105openalex-snapshot
The implications of human metabolic network topology for disease comorbidity
inferredcites →https://doi.org/10.1073/pnas.1222878110openalex-snapshot
Genomic responses in mouse models poorly mimic human inflammatory diseases
inferredcites →https://doi.org/10.1080/00018730601170527openalex-snapshot
Characterization of complex networks: A survey of measurements
inferredcites →https://doi.org/10.1093/bfgp/els032openalex-snapshot
Exploring the human diseasome: the human disease network
inferredcites →https://doi.org/10.1093/bib/bbw110openalex-snapshot
A review of validation strategies for computational drug repositioning
inferredcites →https://doi.org/10.1093/bioinformatics/btm087openalex-snapshot
A new method to measure the semantic similarity of GO terms
inferredcites →https://doi.org/10.1093/bioinformatics/btp433openalex-snapshot
Supervised prediction of drug–target interactions using bipartite local models
inferredcites →https://doi.org/10.1093/bioinformatics/btu403openalex-snapshot
Drug repositioning by integrating target information through a heterogeneous network model
inferredcites →https://doi.org/10.1093/bioinformatics/btw247openalex-snapshot
Jumping across biomedical contexts using compressive data fusion
inferredcites →https://doi.org/10.1093/bioinformatics/bty188openalex-snapshot
SPV: a JavaScript Signaling Pathway Visualizer
inferredcites →https://doi.org/10.1093/database/bav028openalex-snapshot
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
inferredcites →https://doi.org/10.1093/nar/gkv1048openalex-snapshot
SIGNOR: a database of causal relationships between biological entities
inferredcites →https://doi.org/10.1093/nar/gkw943openalex-snapshot
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
inferredcites →https://doi.org/10.1093/nar/gkx876openalex-snapshot
DISNOR: a disease network open resource
inferredcites →https://doi.org/10.1093/oxfordjournals.aje.a009089openalex-snapshot
Measurement Error Correction for Logistic Regression Models with an "Alloyed Gold Standard"
inferredcites →https://doi.org/10.1098/rsif.2015.0571openalex-snapshot
Methods for biological data integration: perspectives and challenges
inferredcites →https://doi.org/10.1101/gr.1239303openalex-snapshot
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
inferredcites →https://doi.org/10.1103/physreve.76.046115openalex-snapshot
Bipartite network projection and personal recommendation
inferredcites →https://doi.org/10.1103/revmodphys.74.47openalex-snapshot
Statistical mechanics of complex networks
inferredcites →https://doi.org/10.1109/asonam.2011.112openalex-snapshot
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks
inferredcites →https://doi.org/10.1109/cbms.2018.00076openalex-snapshot
Evaluating Wikipedia as a Source of Information for Disease Understanding
inferredcites →https://doi.org/10.1109/tcbb.2016.2550432openalex-snapshot
Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources
inferredcites →https://doi.org/10.1109/tcbb.2016.2599155openalex-snapshot
Effect of Aggregation Operators on Network-Based Disease Gene Prioritization: A Case Study on Blood Disorders
inferredcites →https://doi.org/10.1111/j.1471-1842.2009.00848.xopenalex-snapshot
A typology of reviews: an analysis of 14 review types and associated methodologies
inferredcites →https://doi.org/10.1126/science.1158140openalex-snapshot
Drug Target Identification Using Side-Effect Similarity
inferredcites →https://doi.org/10.1136/bmj.305.6846.187-bopenalex-snapshot
"Gold standard" is an appropriate term.
inferredcites →https://doi.org/10.1137/s003614450342480openalex-snapshot
The Structure and Function of Complex Networks
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/321439.321441openalex-snapshot
Computer Evaluation of Indexing and Text Processing
inferredcites →https://doi.org/10.1155/2015/275045openalex-snapshot
Matrix Factorization-Based Prediction of Novel Drug Indications by Integrating Genomic Space
inferredcites →https://doi.org/10.1155/2017/1278932openalex-snapshot
Empirical Comparison of Visualization Tools for Larger-Scale Network Analysis
inferredcites →https://doi.org/10.1161/circresaha.111.258541openalex-snapshot
The Emerging Paradigm of Network Medicine in the Study of Human Disease
inferredcites →https://doi.org/10.1186/1471-2105-15-304openalex-snapshot
Predicting disease associations via biological network analysis
inferredcites →https://doi.org/10.1186/1755-8794-8-s2-s9openalex-snapshot
Network-based prediction and knowledge mining of disease genes
inferredcites →https://doi.org/10.1186/s12859-016-1336-7openalex-snapshot
Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks
inferredcites →https://doi.org/10.1186/s12859-018-2220-4openalex-snapshot
Predicting drug-disease associations by using similarity constrained matrix factorization
inferredcites →https://doi.org/10.1186/s12868-017-0394-8openalex-snapshot
In silico repurposing of antipsychotic drugs for Alzheimer’s disease
inferredcites →https://doi.org/10.1186/s12874-016-0207-2openalex-snapshot
Network or regression-based methods for disease discrimination: a comparison study
inferredcites →https://doi.org/10.1186/s12911-017-0449-xopenalex-snapshot
Network mirroring for drug repositioning
inferredcites →https://doi.org/10.1186/s12918-015-0184-9openalex-snapshot
Finding directionality and gene-disease predictions in disease associations
inferredcites →https://doi.org/10.1186/s12918-017-0437-xopenalex-snapshot
HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network
inferredcites →https://doi.org/10.1186/s12967-017-1368-4openalex-snapshot
Design and validation of a disease network of inflammatory processes in the NSG-UC mouse model
inferredcites →https://doi.org/10.1186/s13062-015-0088-zopenalex-snapshot
The human disease network in terms of dysfunctional regulatory mechanisms
inferredcites →https://doi.org/10.1186/s13326-017-0140-2openalex-snapshot
DisSetSim: an online system for calculating similarity between disease sets
inferredcites →https://doi.org/10.1371/journal.pcbi.1000353openalex-snapshot
A Dynamic Network Approach for the Study of Human Phenotypes
inferredcites →https://doi.org/10.1371/journal.pcbi.1000662openalex-snapshot
Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets
inferredcites →https://doi.org/10.1371/journal.pcbi.1002574openalex-snapshot
Assessing Drug Target Association Using Semantic Linked Data
inferredcites →https://doi.org/10.1371/journal.pcbi.1005962openalex-snapshot
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
inferredcites →https://doi.org/10.1371/journal.pone.0003420openalex-snapshot
An Analysis of Human MicroRNA and Disease Associations
inferredcites →https://doi.org/10.1371/journal.pone.0006536openalex-snapshot
Human Disease-Drug Network Based on Genomic Expression Profiles
inferredcites →https://doi.org/10.1371/journal.pone.0008090openalex-snapshot
Network Properties of Complex Human Disease Genes Identified through Genome-Wide Association Studies
inferredcites →https://doi.org/10.1371/journal.pone.0099415openalex-snapshot
SemFunSim: A New Method for Measuring Disease Similarity by Integrating Semantic and Gene Functional Association
inferredcites →https://doi.org/10.1371/journal.pone.0155811openalex-snapshot
An Integrated Data Driven Approach to Drug Repositioning Using Gene-Disease Associations
inferredcites →https://doi.org/10.1371/journal.pone.0199435openalex-snapshot
Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions
inferredcites →https://doi.org/10.15363/thinklab.a7openalex-snapshot
Rephetio: Repurposing drugs on a hetnet [report]
inferredcites →https://doi.org/10.18632/oncotarget.19588openalex-snapshot
BRWLDA: bi-random walks for predicting lncRNA-disease associations
inferredcites →https://doi.org/10.2174/0929867323666160926150617openalex-snapshot
Overview of Systems Biology and Omics Technologies
inferredcites →https://doi.org/10.2174/1574893612666170727094502openalex-snapshot
Extracting Diagnostic Knowledge from MedLine Plus: A Comparison between MetaMap and cTAKES Approaches
inferredcites →https://doi.org/10.3389/fonc.2017.00273openalex-snapshot
Giving Drugs a Second Chance: Overcoming Regulatory and Financial Hurdles in Repurposing Approved Drugs As Cancer Therapeutics
inferredcites →https://doi.org/10.4103/0019-5049.190627openalex-snapshot
Legal and ethical issues in research
inferredcites →https://doi.org/10.7554/elife.26726openalex-snapshot
Systematic integration of biomedical knowledge prioritizes drugs for repurposing
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.7717/peerj.8580openalex-snapshot
DISNET: a framework for extracting phenotypic disease information from public sources
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