Cargando…
lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine
Functional long non-coding RNAs (lncRNAs) have been bringing novel insight into biological study, however it is still not trivial to accurately distinguish the lncRNA transcripts (LNCTs) from the protein coding ones (PCTs). As various information and data about lncRNAs are preserved by previous stud...
Autores principales: | Sun, Lei, Liu, Hui, Zhang, Lin, Meng, Jia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593643/ https://www.ncbi.nlm.nih.gov/pubmed/26437338 http://dx.doi.org/10.1371/journal.pone.0139654 |
Ejemplares similares
-
RScan: fast searching structural similarities for structured RNAs in large databases
por: Xue, Chenghai, et al.
Publicado: (2007) -
CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks
por: Gillani, Zeeshan, et al.
Publicado: (2014) -
Quality assessment of tandem mass spectra using support vector machine (SVM)
por: Zou, An-Min, et al.
Publicado: (2009) -
Data on Support Vector Machines (SVM) model to forecast photovoltaic power
por: Malvoni, M., et al.
Publicado: (2016) -
The prediction of the porcine pre-microRNAs in genome-wide based on support vector machine (SVM) and homology searching
por: Wang, Zhen, et al.
Publicado: (2012)