Ontology highlight
ABSTRACT: Background
Recently, we developed a mathematical model for identifying putative competing endogenous RNA (ceRNA) interactions. This methodology has aroused a broad acknowledgment within the scientific community thanks to the encouraging results achieved when applied to breast invasive carcinoma, leading to the identification of PVT1, a long non-coding RNA functioning as ceRNA for the miR-200 family. The main shortcoming of the model is that it is no freely available and implemented in MATLAB®, a proprietary programming platform requiring a paid license for installing, operating, manipulating, and running the software.Results
Breaking through these model limitations demands to distribute it in an open-source, freely accessible environment, such as R, designed for an ordinary
SUBMITTER: Paci P
PROVIDER: S-EPMC9073480 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature