ReviewCurrent genomics2019
Applications of Machine Learning in miRNA Discovery and Target Prediction.
Review in Current genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 42 citations in OpenAlex.
- miRNAProtPred: computational prediction of human miRNA binding based on seed complementarity and thermodynamic stability.Frontiers in genetics · 2026Article
- MicroRNA chemical modifications in post-transcriptional gene silencing and human diseases.Molecular therapy. Nucleic acids · 2025Review
- Computational identification and validation of non-coding rna biomarkers in gastrointestinal cancer.Functional & integrative genomics · 2025Review
- MiRNAs in Poultry Health and Production: Progress and Challenges.Animals : an open access journal from MDPI · 2025Review
- MicroRNA bioinformatics in precision oncology: an integrated pipeline from NGS to AI-based target discovery.Journal of applied genetics · 2025Review
- Value of Bioinformatics Models for Predicting Translational Control of Angiogenesis.Circulation research · 2025Review
- Therapeutic Applications of Poly-miRNAs and miRNA Sponges.International journal of molecular sciences · 2025Review
- Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population.Scientific reports · 2025Article
- Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification.Computational and structural biotechnology journal · 2025Article
- Advancing miRNA cancer research through artificial intelligence: from biomarker discovery to therapeutic targeting.Medical oncology (Northwood, London, England) · 2024Review
- Unlocking the potential of miRNAs in detecting pulmonary tuberculosis: prospects and pitfalls.Expert reviews in molecular medicine · 2024Review
- Systems Approaches to Cell Culture-Derived Extracellular Vesicles for Acute Kidney Injury Therapy: Prospects and Challenges.Function (Oxford, England) · 2024Review
- The role of miRNAs as biomarkers in breast cancer.Frontiers in oncology · 2024Review
- A New Frontier in Phytotherapy: Harnessing the Therapeutic Power of Medicinal Herb-derived miRNAs.Current pharmaceutical design · 2024Review
- The Role of MicroRNAs in Breast Cancer and the Challenges of Their Clinical Application.Diagnostics (Basel, Switzerland) · 2023Review
- mintRULS: Prediction of miRNA-mRNA Target Site Interactions Using Regularized Least Square Method.Genes · 2022Article
- Inferring microRNA regulation: A proteome perspective.Frontiers in molecular biosciences · 2022Article
- Machine Learning Based Methods and Best Practices of microRNA-Target Prediction and Validation.Advances in experimental medicine and biology · 2022Article
- The ethics of machine learning-based clinical decision support: an analysis through the lens of professionalisation theory.BMC medical ethics · 2021Article
- Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.Neurochemical research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten these complications with experimental studies. However, there is still a need for an optimized approach in miRNA biology. Therefore, machine learning (ML) would initiate a new era of research in miRNA biology towards potential diseases biomarker. In this article, we described the application of ML approaches in miRNA discovery and target prediction with functions and future prospective. The implementation of a new era of computational methodologies in this direction would initiate further advanced levels of discoveries in miRNA.
Indexed as
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What OpenQuestion holds
Registered trials
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.