Ensemble Methods for MiRNA Target Prediction from Expression Data.
microRNAs (miRNAs) are short regulatory RNAs that are involved in several diseases, including cancers. Identifying miRNA functions is very important in understanding disease mechanisms and determining the efficacy of drugs. An increasing number of computational methods have been developed to explore...
Main Authors: | Thuc Duy Le, Junpeng Zhang, Lin Liu, Jiuyong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4482624?pdf=render |
Similar Items
-
Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles.
by: Weijia Zhang, et al.
Published: (2016-01-01) -
miRLAB: An R Based Dry Lab for Exploring miRNA-mRNA Regulatory Relationships.
by: Thuc Duy Le, et al.
Published: (2015-01-01) -
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
by: Junpeng Zhang, et al.
Published: (2017-05-01) -
Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.
by: Taosheng Xu, et al.
Published: (2016-01-01) -
miRspongeR: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules
by: Junpeng Zhang, et al.
Published: (2019-05-01)