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The Plant Genome|September 13, 2022
ASRpro: A machine-learning computational model for identifying proteins associated with multiple abiotic stress in plantsPrabina Kumar Meher, Tanmaya Kumar Sahu, Ajit Gupta, et al.
Heredity|May 4, 2022
Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and resultsPrabina Kumar Meher, Sachin Rustgi, Anuj Kumar
The Plant Genome|May 1, 2023
Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.)Prabina Kumar Meher, Ajit Gupta, Sachin Rustgi, et al.
Biodata Mining|January 26, 2016
Prediction of donor splice sites using random forest with a new sequence encoding approachPrabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao
International Journal of Molecular Sciences|February 15, 2022
ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional FeaturesPrabina Kumar Meher, Shbana Begam, Tanmaya Kumar Sahu, et al.
BMC Bioinformatics|March 26, 2017
DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteinsPrabina Kumar Meher, Tanmaya Kumar Sahu, Anjali Banchariya, et al.
Briefings in Bioinformatics|August 23, 2022
A comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopesTanmaya Kumar Sahu, Prabina Kumar Meher, Nalini Kanta Choudhury, et al.
BMC Bioinformatics|November 26, 2014
A statistical approach for 5' splice site prediction using short sequence motifs and without encoding sequence dataPrabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao, et al.
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