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DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs

https://doi.org/10.1038/srep30024
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A new face and new challenges for Online Mendelian Inheritance in Man (OMIM®)
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Safety of combination therapy with milrinone and esmolol for heart protection during percutaneous coronary intervention in acute myocardial infarction
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Finding disease similarity based on implicit semantic similarity
inferredcites →https://doi.org/10.1038/75556openalex-snapshot
Gene Ontology: tool for the unification of biology
inferredcites →https://doi.org/10.1038/ng0504-431openalex-snapshot
The Genetic Association Database
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Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks
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A new method to measure the semantic similarity of GO terms
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Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
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Cytoscape Web: an interactive web-based network browser
inferredcites →https://doi.org/10.1093/nar/gkn803openalex-snapshot
The GOA database in 2009--an integrated Gene Ontology Annotation resource
inferredcites →https://doi.org/10.1093/nar/gkr972openalex-snapshot
Disease Ontology: a backbone for disease semantic integration
inferredcites →https://doi.org/10.1093/nar/gks994openalex-snapshot
The Comparative Toxicogenomics Database: update 2013
inferredcites →https://doi.org/10.1101/gr.118992.110openalex-snapshot
Prioritizing candidate disease genes by network-based boosting of genome-wide association data
inferredcites →https://doi.org/10.1109/cloudnet.2012.6483678openalex-snapshot
UCloud: A simulated Hybrid Cloud for a university environment
inferredcites →https://doi.org/10.1109/tcbb.2016.2520947openalex-snapshot
Prediction and Validation of Disease Genes Using HeteSim Scores
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
inferredcites →https://doi.org/10.1186/1471-2105-12-266openalex-snapshot
DOSim: An R package for similarity between diseases based on Disease Ontology
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.pone.0075504openalex-snapshot
SIDD: A Semantically Integrated Database towards a Global View of Human Disease
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.0155530openalex-snapshot
Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database
inferredcites →https://doi.org/10.4103/0019-5413.139827openalex-snapshot
Medical subject headings (MeSH) terms
inferredcites →https://doi.org/10.48550/arxiv.cmp-lg/9511007openalex-snapshot
Using Information Content to Evaluate Semantic Similarity in a Taxonomy
inferredcites →https://doi.org/10.6026/97320630007154openalex-snapshot
DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Disease Similarity Technique Using Biological Process Functional Annotations
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DisGeReExT: a knowledge discovery system for exploration of disease–gene associations through large-scale literature-wide analysis study
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Starting points for finding toxicology resources
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Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources
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Computational Methods for Identifying Similar Diseases
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MTGNN: Multi-Task Graph Neural Network based few-shot learning for disease similarity measurement
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Biomedical data, computational methods and tools for evaluating disease–disease associations
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Identification of disease mechanisms and novel disease genes using clinical concept embeddings learned from massive amounts of biomedical data
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Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships
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Disease networks and their contribution to disease understanding and drug repurposing: Evolution of the concept, techniques and data sources
inferred← citeshttps://doi.org/10.1109/bibm.2016.7822765openalex-snapshot
DisSetSim: An online system for calculating similarity between disease sets
inferred← citeshttps://doi.org/10.1109/bibm.2016.7822769openalex-snapshot
Biological entity relationship extraction method based on multiple kernel learning
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Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks
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MISSION: Multimodal-Information-Aided Similar Disease Detection Based on Disease Information Network
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An Ontology-Independent Representation Learning for Similar Disease Detection Based on Multi-Layer Similarity Network
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An Integrative Disease Information Network Approach to Similar Disease Detection
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Similar Disease Prediction With Heterogeneous Disease Information Networks
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Hierarchical Physician Recommendation via Diversity-enhanced Matrix Factorization
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inferred← citeshttps://doi.org/10.1186/s12864-018-4927-zopenalex-snapshot
An online tool for measuring and visualizing phenotype similarities using HPO
inferred← citeshttps://doi.org/10.1186/s12918-019-0697-8openalex-snapshot
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO
inferred← citeshttps://doi.org/10.1186/s12920-017-0315-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13326-017-0138-9openalex-snapshot
Multiple kernels learning-based biological entity relationship extraction method
inferred← citeshttps://doi.org/10.1186/s13326-017-0139-8openalex-snapshot
Revealing protein functions based on relationships of interacting proteins and GO terms
inferred← citeshttps://doi.org/10.1186/s13326-017-0140-2openalex-snapshot
DisSetSim: an online system for calculating similarity between disease sets
inferred← citeshttps://doi.org/10.1186/s13326-017-0144-yopenalex-snapshot
Investigations on factors influencing HPO-based semantic similarity calculation
inferred← citeshttps://doi.org/10.1242/dmm.032839openalex-snapshot
Augmenting the disease ontology improves and unifies disease annotations across species
inferred← citeshttps://doi.org/10.1504/ijdmb.2017.084268openalex-snapshot
A novel method to measure the semantic similarity of HPO terms
inferred← citeshttps://doi.org/10.18632/oncotarget.12287openalex-snapshot
Identification of novel prognostic indicators for triple-negative breast cancer patients through integrative analysis of cancer genomics data and protein interactome data
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Caracterización de enfermedades basada en su información fenotípica recuperada mediante la extracción de conocimiento biomédico de fuentes de información públicas
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Creation of Networks for the Analysis of Disease Similarities
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An Exploratory Review on Recent Computational Approaches Devised for MiRNA Disease Association Prediction
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EZH2 RIP-seq Identifies Tissue-specific Long Non-coding RNAs
inferred← citeshttps://doi.org/10.26481/dis.20210707ahopenalex-snapshot
FAIR and bias-free network modules for mechanism-based disease redefinitions
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Construction of Disease Similarity Networks Using Concept Embedding and Ontology
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Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data
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A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease
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Relationship Between Alzheimer’s Disease and the Immune System: A Meta-Analysis of Differentially Expressed Genes
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Computational Detection of Breast Cancer Invasiveness with DNA Methylation Biomarkers
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PWCDA: Path Weighted Method for Predicting circRNA-Disease Associations
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Knowledge Discovery Considering Domain Literature and Ontologies : Application to Rare Diseases
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GBDTCDA: Predicting circRNA-disease Associations Based on Gradient Boosting Decision Tree with Multiple Biological Data Fusion
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