ArticleScientific reports2017
Determining causal miRNAs and their signaling cascade in diseases using an influence diffusion model.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- Sex differences in gene regulation and its impact on cancer incidence.bioRxiv : the preprint server for biology · 2025Article
- Article
- COFFEE: consensus single cell-type specific inference for gene regulatory networks.Briefings in bioinformatics · 2024Article
- CHAI: consensus clustering through similarity matrix integration for cell-type identification.Briefings in bioinformatics · 2024Article
- Neuron enriched extracellular vesicles' MicroRNA expression profiles as a marker of early life alcohol consumption.Translational psychiatry · 2024Article
- CHAI: Consensus Clustering Through Similarity Matrix Integration for Cell-Type Identification.bioRxiv : the preprint server for biology · 2024Article
- COFFEE: Consensus Single Cell-Type Specific Inference for Gene Regulatory Networks.bioRxiv : the preprint server for biology · 2024Article
- Challenges and promise of targeting miRNA in rheumatic diseases: a computational approach to identify miRNA association with cell types, cytokines, and disease mechanisms.Frontiers in immunology · 2023Review
- DisiMiR: Predicting Pathogenic miRNAs Using Network Influence and miRNA Conservation.Non-coding RNA · 2022Article
- Spatiotemporal tracing of pandemic spread from infection data.Scientific reports · 2021Article
- The Transcriptional Regulatory Network ofMicroorganisms · 2021Review
- Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2021Article
- Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.BMC medical informatics and decision making · 2020Article
- Article
- Explaining Gene Expression Using Twenty-One MicroRNAs.Journal of computational biology : a journal of computational molecular cell biology · 2020Article
- RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network.BMC bioinformatics · 2020Article
- Evaluation of the Common Molecular Basis in Alzheimer's and Parkinson's Diseases.International journal of molecular sciences · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
In recent studies, miRNAs have been found to be extremely influential in many of the essential biological processes. They exhibit a self-regulatory mechanism through which they act as positive/negative regulators of expression of genes and other miRNAs. This has direct implications in the regulation of various pathophysiological conditions, signaling pathways and different types of cancers. Studying miRNA-disease associations has been an extensive area of research; however deciphering miRNA-miRNA network regulatory patterns in several diseases remains a challenge. In this study, we use information diffusion theory to quantify the influence diffusion in a miRNA-miRNA regulation network across multiple disease categories. Our proposed methodology determines the critical disease specific miRNAs which play a causal role in their signaling cascade and hence may regulate disease progression. We extensively validate our framework using existing computational tools from the literature. Furthermore, we implement our framework on a comprehensive miRNA expression data set for alcohol dependence and identify the causal miRNAs for alcohol-dependency in patients which were validated by the phase-shift in their expression scores towards the early stages of the disease. Finally, our computational framework for identifying causal miRNAs implicated in diseases is available as a free online tool for the greater scientific community.
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Registered trials
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