Yuka SA, Yilmaz A (2021). “Network based multifactorial modelling of miRNA-target interactions.” PeerJ. doi:10.7717/peerj.11121. https://peerj.com/articles/11121/.

Corresponding BibTeX entry:

  @Article{,
    author = {Selcen Ari Yuka and Alper Yilmaz},
    title = {Network based multifactorial modelling of miRNA-target
      interactions},
    year = {2021},
    doi = {10.7717/peerj.11121},
    abstract = {Competing endogenous RNA (ceRNA) regulations and
      crosstalk between various types of non-coding RNA in humans is an
      important and under-explored subject. Several studies have
      pointed out that an alteration in miRNA: target interaction can
      result in unexpected changes due to indirect and complex
      interactions. In this article, we defined a new network-based
      model that incorporates miRNA: ceRNA interactions with expression
      values. Our approach calculates network-wide effects of
      perturbations in the expression level of one or more nodes in the
      presence or absence of miRNA interaction factors such as seed
      type, binding energy. We carried out the analysis of large-scale
      miRNA: target networks from breast cancer patients. Highly
      perturbing genes identified by our approach coincide with breast
      cancer-associated genes and miRNAs. Our network-based approach
      takes the sponge effect into account and helps to unveil the
      crosstalk between nodes in miRNA: target network. The model has
      potential to reveal unforeseen regulations that are only evident
      in the network context. Our tool is scalable and can be plugged
      in with emerging miRNA effectors such as circRNAs, lncRNAs, and
      available as R package ceRNAnetsim: https://www. bioconductor.
      org/packages/release/bioc/html/ceRNAnetsim.html.},
    url = {https://peerj.com/articles/11121/},
    journal = {PeerJ},
  }