ArticleBioinformatics (Oxford, England)2018
CCmiR: a computational approach for competitive and cooperative microRNA binding prediction.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Investigate synergistic and competitive regulation between miRNAs by using a multivariate information measurement.BMC bioinformatics · 2026Article
- New characteristics of MiRNA and IsomiR interactions with mRNA.Scientific reports · 2025Article
- A deep learning method to integrate extracelluar miRNA with mRNA for cancer studies.Bioinformatics (Oxford, England) · 2024Article
- A computational modeling of pri-miRNA expression.PloS one · 2024Article
- Review
- A deep learning method for miRNA/isomiR target detection.Scientific reports · 2022Article
- Position-wise binding preference is important for miRNA target site prediction.Bioinformatics (Oxford, England) · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
motivationThe identification of microRNA (miRNA) target sites is important. In the past decade, dozens of computational methods have been developed to predict miRNA target sites. Despite their existence, rarely does a method consider the well-known competition and cooperation among miRNAs when attempts to discover target sites. To fill this gap, we developed a new approach called CCmiR, which takes the cooperation and competition of multiple miRNAs into account in a statistical model to predict their target sites.
resultsTested on four different datasets, CCmiR predicted miRNA target sites with a high recall and a reasonable precision, and identified known and new cooperative and competitive miRNAs supported by literature. Compared with three state-of-the-art computational methods, CCmiR had a higher recall and a higher precision. AVAILABILITY AND IMPLEMENTATION: CCmiR is freely available at http://hulab.ucf.edu/research/projects/miRNA/CCmiR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Identifiers
What Socratic 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 Socratic graph.