Abstaining classification for predicting translated non-coding RNAs

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The IRSOM web server classifies each submitted RNA sequence into one of three categories: coding RNA, non-coding RNA, and “translated ncRNA”. This is achieved by using self-organizing maps (SOM), taking into account features that are related to the sequence statistics and the putative open reading frames.

Pre-computed results from a dataset of 38,000 human RNA sequences: Click here



The code repository of IRSOM and the datasets used in the Bioinformatics article are available following the links below:


IRSOM sources

IRSOM datasets

OS Version Chrome Firefox Edge Safari
Linux Ubuntu 20.04.4 LTS 100.0 98.0    
macOS Monterey 12.3.1 100.0 99.0   15.4
Windows 10 79.0 69.0 44  
How to cite IRSOM:
  • Platon L., Zehraoui F., Bendahmane A., Tahi F. IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection. Bioinformatics, Volume 34, Issue 17, 01 September 2018, Pages i620–i628. doi:10.1093/bioinformatics/bty572
For any questions, comments or suggestions about IRSOM, please feel free to contact: fariza.tahi@ibisc.univ-evry.fr