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Identification of long non-coding transcripts with feature selection: a comparative study.

Giovanna M M VentolaTeresa M R NovielloSalvatore D'AnielloAntonietta SpagnuoloMichele CeccarelliLuigi Cerulo
Published in: BMC bioinformatics (2017)
Understanding which features are best suited for the prediction of long non-coding RNAs allows for the development of more effective automatic annotation pipelines especially relevant for poorly annotated genomes, such as zebrafish. We provide a web tool that recognizes novel long non-coding RNAs with the obtained signatures from fasta and gtf formats. The tool is available at the following url: http://www.bioinformatics-sannio.org/software/ .
Keyphrases
  • long non coding rna
  • poor prognosis
  • deep learning
  • machine learning
  • genome wide
  • neural network
  • dna methylation
  • single cell