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

BACKGROUND: The unveiling of long non-coding RNAs as important gene regulators in many biological contexts has increased the demand for efficient and robust computational methods to identify novel long non-coding RNAs from transcripts assembled with high throughput RNA-seq data. Several classes of s...

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Udgivet i:BMC Bioinformatics
Main Authors: Ventola, Giovanna M. M., Noviello, Teresa M. R., D’Aniello, Salvatore, Spagnuolo, Antonietta, Ceccarelli, Michele, Cerulo, Luigi
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2017
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5364679/
https://ncbi.nlm.nih.gov/pubmed/28335739
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1594-z
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