Cargando…
Improving performance of mammalian microRNA target prediction
BACKGROUND: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However,...
Autores principales: | Liu, Hui, Yue, Dong, Chen, Yidong, Gao, Shou-Jiang, Huang, Yufei |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2955701/ https://www.ncbi.nlm.nih.gov/pubmed/20860840 http://dx.doi.org/10.1186/1471-2105-11-476 |
Ejemplares similares
-
A Bayesian decision fusion approach for microRNA target prediction
por: Yue, Dong, et al.
Publicado: (2012) -
Survey of Computational Algorithms for MicroRNA Target Prediction
por: Yue, Dong, et al.
Publicado: (2009) -
A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling
por: Liu, Hui, et al.
Publicado: (2010) -
Quantitative Proteomic Approach for MicroRNA Target Prediction Based on (18)O/(16)O Labeling
por: Ma, Xuepo, et al.
Publicado: (2016) -
Predicting effective microRNA target sites in mammalian mRNAs
por: Agarwal, Vikram, et al.
Publicado: (2015)