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Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data
Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. Although there are over 100,000 samples with available RNA sequencing (RNA-seq) data, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA-seq data is to f...
Autores principales: | Li, Zixiu, Zhou, Peng, Kwon, Euijin, Fitzgerald, Katherine A., Weng, Zhiping, Zhou, Chan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9607125/ https://www.ncbi.nlm.nih.gov/pubmed/36287122 http://dx.doi.org/10.3390/ncrna8050070 |
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