ArticleBioinformatics (Oxford, England)2017
Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- An Interactive Brain Atlas of Knowledge.bioRxiv : the preprint server for biology · 2026Article
- Neuro-psycho MMSig: multimodal mechanism enrichment platform for neuropsychiatric disorders.Frontiers in bioinformatics · 2026Article
- The Virtual Brain Ontology: A Digital Knowledge Framework for Reproducible Brain Network Modeling.bioRxiv : the preprint server for biology · 2025Article
- KGG: a fully automated workflow for creating disease-specific knowledge graphs.Bioinformatics (Oxford, England) · 2025Article
- Deciphering shared molecular dysregulation across Parkinson's disease variants using a multi-modal network-based data integration and analysis.NPJ Parkinson's disease · 2025Article
- Article
- Harnessing the potential of machine learning and artificial intelligence for dementia research.Brain informatics · 2023Review
- Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories.Scientific reports · 2023Article
- AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease.PLoS computational biology · 2023Article
- A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism.Patterns (New York, N.Y.) · 2022Article
- Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.PLoS computational biology · 2022Article
- Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases.Artificial intelligence in the life sciences · 2021Article
- Validating a Genomic Convergence and Network Analysis Approach Using Association Analysis of Identified Candidate Genes in Alzheimer's Disease.Frontiers in genetics · 2021Article
- A Systems Biology Approach for Hypothesizing the Effect of Genetic Variants on Neuroimaging Features in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2021Article
- Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.Frontiers in neuroinformatics · 2021Review
- Clustering of Alzheimer's and Parkinson's disease based on genetic burden of shared molecular mechanisms.Scientific reports · 2020Article
- Data science in neurodegenerative disease: its capabilities, limitations, and perspectives.Current opinion in neurology · 2020Review
- Quantifying mechanisms in neurodegenerative diseases (NDDs) using candidate mechanism perturbation amplitude (CMPA) algorithm.BMC bioinformatics · 2019Article
- NPA: an R package for computing network perturbation amplitudes using gene expression data and two-layer networks.BMC bioinformatics · 2019Article
- Re-curation and rational enrichment of knowledge graphs in Biological Expression Language.Database : the journal of biological databases and curation · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationThe concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in the challenging area of research on neurodegenerative diseases.
resultsWe have developed a knowledge base representing essential pathophysiology mechanisms of neurodegenerative diseases. Together with dedicated algorithms, this knowledge base forms the basis for a 'mechanism-enrichment server' that supports the mechanistic interpretation of multiscale, multimodal clinical data. AVAILABILITY AND IMPLEMENTATION: NeuroMMSig is available at http://neurommsig.scai.fraunhofer.de/. CONTACT: martin.hofmann-apitius@scai.fraunhofer.de. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.