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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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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
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| Schlagworte: | |
| Online Zugang: | 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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