ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo <i>K</i>-Tuple Nucleotide Compositional Features

ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo <i>K</i>-Tuple Nucleotide Compositional Features

MicroRNAs (miRNAs) play a significant role in plant response to different abiotic stresses. Thus, identification of abiotic stress-responsive miRNAs holds immense importance in crop breeding programmes to develop cultivars resistant to abiotic stresses. In this study, we developed a machine learning...

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Bibliographic Details
Main Authors: Prabina Kumar Meher, Shbana Begam, Tanmaya Kumar Sahu, Ajit Gupta, Anuj Kumar, Upendra Kumar, Atmakuri Ramakrishna Rao, Krishna Pal Singh, Om Parkash Dhankher
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:International Journal of Molecular Sciences
Subjects:
abiotic stress
miRNAs
stress-responsive genes
machine learning
computational biology
Online Access:https://www.mdpi.com/1422-0067/23/3/1612

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