Cargando…
Deep neural networks for human microRNA precursor detection
BACKGROUND: MicroRNAs (miRNAs) play important roles in a variety of biological processes by regulating gene expression at the post-transcriptional level. So, the discovery of new miRNAs has become a popular task in biological research. Since the experimental identification of miRNAs is time-consumin...
Autores principales: | Zheng, Xueming, Fu, Xingli, Wang, Kaicheng, Wang, Meng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958766/ https://www.ncbi.nlm.nih.gov/pubmed/31931701 http://dx.doi.org/10.1186/s12859-020-3339-7 |
Ejemplares similares
-
Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA
por: R., Elakkiya, et al.
Publicado: (2021) -
Northern blotting analysis of microRNAs, their precursors and RNA interference triggers
por: Koscianska, Edyta, et al.
Publicado: (2011) -
SAGE detects microRNA precursors
por: Ge, Xijin, et al.
Publicado: (2006) -
Deep neural network based tissue deconvolution of circulating tumor cell RNA
por: Yan, Fengyao, et al.
Publicado: (2023) -
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine
por: Xue, Chenghai, et al.
Publicado: (2005)