28 results on '"Pradhan, Upendra Kumar"'
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2. Soil fertility mapping and applications for site-specific nutrient management: a case study
3. Computational Prediction of RNA Binding Proteins
4. ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms
5. ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants
6. ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants
7. Delineation of Irrigation Management Zones Using Geographical Weighted Principal Component Analysis and Possibilistic Fuzzy C-Means Clustering Approach
8. ProkDBP: Toward more precise identification of prokaryotic DNA binding proteins
9. RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes
10. RBPSpot: Learning on appropriate contextual information for RBP binding sites discovery
11. Some Investigations on Designs for Mixture Experiments with Process Variable
12. In-depth assembly of organ and development dissected Picrorhiza kurroa proteome map using mass spectrometry
13. Prediction of Soil Inorganic Carbon at Multiple Depths Using Quantile Regression Forest and Digital Soil Mapping Technique in the Thar Desert Regions of India
14. Chapter 15 - Digital soil mapping algorithm for soil quality assessment and monitoring: a case study in desert ecosystem of India
15. Chapter 5 - Soil fertility mapping and applications for site-specific nutrient management: a case study
16. Inferring gene regulatory networks using Kendall's tau correlation coefficient and identification of salinity stress responsive genes in rice
17. Advanced row-column designs for animal feed experiments
18. PlDBPred: a novel computational model for discovery of DNA binding proteins in plants
19. Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties
20. PlDBPred: a novel computational model for discovery of DNA binding proteins in plants.
21. List of contributors
22. miRbiom: Machine-learning on Bayesian causal nets of RBP-miRNA interactions successfully predicts miRNA profiles
23. RBPSpot: Learning on Appropriate Contextual Information for RBP Binding Sites Discovery
24. Additional file 6 of In-depth assembly of organ and development dissected Picrorhiza kurroa proteome map using mass spectrometry
25. miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles
26. Design and analysis of mixture experiments with process variable
27. Advanced row-column designs for animal feed experiments.
28. Design and analysis of mixture experiments with process variable.
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