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Computational and Structural Biotechnology Journal|April 25, 2024
RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotesUpendra Kumar Pradhan, Sanchita Naha, Ritwika Das, et al.
G3 (Bethesda, Md.)|July 29, 2025
Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracyPrabina Kumar Meher, Upendra Kumar Pradhan, Mrinmoy Ray, et al.
Plant Molecular Biology|September 24, 2024
PredPSP: a novel computational tool to discover pathway-specific photosynthetic proteins in plantsPrabina Kumar Meher, Upendra Kumar Pradhan, Padma Lochan Sethi, et al.
Briefings in Functional Genomics|May 9, 2023
RBPLight: a computational tool for discovery of plant-specific RNA-binding proteins using light gradient boosting machine and ensemble of evolutionary featuresUpendra K Pradhan, Prabina K Meher, Sanchita Naha, et al.
Briefings in Functional Genomics|August 31, 2023
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organismsUpendra K Pradhan, Prabina K Meher, Sanchita Naha, et al.
Functional & Integrative Genomics|March 20, 2023
ASmiR: a machine learning framework for prediction of abiotic stress-specific miRNAs in plantsUpendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Plos One|July 6, 2022
Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, IndiaRanjit Kumar Paul, Md Yeasin, Pramod Kumar, et al.
Biochimica Et Biophysica Acta. General Subjects|March 15, 2024
ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithmsUpendra Kumar Pradhan, Anuradha Mahapatra, Sanchita Naha, et al.
Computational Biology and Chemistry|September 12, 2024
AScirRNA: A novel computational approach to discover abiotic stress-responsive circular RNAs in plant genomeUpendra Kumar Pradhan, Prasanjit Behera, Ritwika Das, et al.
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.
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