All the tools you need to analyse your miRNAs

deepSOM


Novel miRNA/Precursor Prediction


Novel machine learning tool for novel miRNA precursor prediction in genome-wide data. Approach is based on clustering unlabeled sequences of a genome together with well-known miRNA precursors for the organism under study, which allows for the quick identification of the best candidates to miRNA as those sequences clustered together with known precursors. A deepSOM model is used to overcome the problem of having very few positive class labels.

Homepage: Link

Last Software Update: June 6, 2016
Publication Date: June 7, 2016
Citations: 1 [via Pubmed]

Organism Specific:
  • animals
  • plants

  • Reference Genome Needed:
    Online/Local: /
    Installation/User Level: advanced
    User Adjustability:
    User support:
    Precomputed Target Results Available For Download:
    Performance : Specificity: 81,55%
    License: GPL
    Novel miRNA/Precursor Prediction
    Prediction Features:
  • sequence
  • structure

  • Algorithm: self-organising maps (SOM), machine learning
    Novel miRNA / Precursor Analysis: Classification
    NGS Data Needed:





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