Cargando…
miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs
MicroRNAs are conserved, endogenous small RNAs with critical post-transcriptional regulatory functions throughout eukaryota, including prominent roles in development and disease. Despite much effort, microRNA annotations still contain errors and are incomplete due especially to challenges related to...
Autores principales: | Bell, Jimmy, Larson, Maureen, Kutzler, Michelle, Bionaz, Massimo, Löhr, Christiane V., Hendrix, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785219/ https://www.ncbi.nlm.nih.gov/pubmed/31596843 http://dx.doi.org/10.1371/journal.pcbi.1007309 |
Ejemplares similares
-
SAGE detects microRNA precursors
por: Ge, Xijin, et al.
Publicado: (2006) -
Deep Stacking Network for Intrusion Detection
por: Tang, Yifan, et al.
Publicado: (2021) -
Detection of queuosine and queuosine precursors in tRNAs by direct RNA sequencing
por: Sun, Yu, et al.
Publicado: (2023) -
Stacked Autoencoders for the P300 Component Detection
por: Vařeka, Lukáš, et al.
Publicado: (2017) -
A Stack-based Ensemble Framework for Detecting Cancer MicroRNA Biomarkers
por: Saha, Sriparna, et al.
Publicado: (2017)