miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences
Authors
Keywords
MicroRNAs, Algorithms, Forecasting, Machine learning algorithms, Plants, DNA sequence analysis, Machine learning, Sequence analysis
Journal
PLoS One
Volume 10, Issue 11, Pages e0142753
Publisher
Public Library of Science (PLoS)
Online
2015-11-12
DOI
10.1371/journal.pone.0142753
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology
- (2015) Nestoras Karathanasis et al. PLoS One
- Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine
- (2014) Jun Meng et al. BMC BIOINFORMATICS
- Evolutionary conservation of microRNA regulatory programs in plant flower development
- (2013) Yan Luo et al. DEVELOPMENTAL BIOLOGY
- CoRAL: predicting non-coding RNAs from small RNA-sequencing data
- (2013) Yuk Yee Leung et al. NUCLEIC ACIDS RESEARCH
- Computational prediction of the localization of microRNAs within their pre-miRNA
- (2013) Mickael Leclercq et al. NUCLEIC ACIDS RESEARCH
- Biogenesis, Turnover, and Mode of Action of Plant MicroRNAs
- (2013) K. Rogers et al. PLANT CELL
- A fast ab-initio method for predicting miRNA precursors in genomes
- (2012) Sébastien Tempel et al. NUCLEIC ACIDS RESEARCH
- MiRmat: Mature microRNA Sequence Prediction
- (2012) Chenfeng He et al. PLoS One
- MicroRNA regulation of plant innate immune receptors
- (2012) F. Li et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Functions of microRNAs in plant stress responses
- (2012) Ramanjulu Sunkar et al. TRENDS IN PLANT SCIENCE
- Computational methods for ab initio detection of microRNAs
- (2012) Jens Allmer et al. Frontiers in Genetics
- The rise and fall of supervised machine learning techniques
- (2011) L. J. Jensen et al. BIOINFORMATICS
- MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences
- (2011) Yonggan Wu et al. BMC BIOINFORMATICS
- MaturePred: Efficient Identification of MicroRNAs within Novel Plant Pre-miRNAs
- (2011) Ping Xuan et al. PLoS One
- Letter to the Editor: Stability of Random Forest importance measures
- (2010) M. L. Calle et al. BRIEFINGS IN BIOINFORMATICS
- MatureBayes: A Probabilistic Algorithm for Identifying the Mature miRNA within Novel Precursors
- (2010) Katerina Gkirtzou et al. PLoS One
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started