Publisher Correction: miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Main Authors: | Prabina Kumar Meher, Subhrajit Satpathy, Atmakuri Ramakrishna Rao |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-02-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-81881-6 |
Similar Items
-
ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo <i>K</i>-Tuple Nucleotide Compositional Features
by: Prabina Kumar Meher, et al.
Published: (2022-01-01) -
DlncRNALoc: A discrete wavelet transform-based model for predicting lncRNA subcellular localization
by: Xiangzheng Fu, et al.
Published: (2023-11-01) -
DeepmRNALoc: A Novel Predictor of Eukaryotic mRNA Subcellular Localization Based on Deep Learning
by: Shihang Wang, et al.
Published: (2023-03-01) -
Subcellular Localization of miRNAs and Implications in Cellular Homeostasis
by: Minwen Jie, et al.
Published: (2021-06-01) -
Resolving Subcellular miRNA Trafficking and Turnover at Single-Molecule Resolution
by: Sethuramasundaram Pitchiaya, et al.
Published: (2017-04-01)