190 results on '"Meher, Prabina Kumar"'
Search Results
2. Effect of bias current of active magnetic bearing on Sommerfeld effect characterization in an unbalanced rotor dynamic system
3. Detection of Multivariate Outliers in Breeding Data
4. Computational Prediction of RNA Binding Proteins
5. ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms
6. A Review: High Amplitude Vibration and Jump Phenomena Attenuation Methods in Different Dynamic Systems
7. ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants
8. Augmentation of damping force by modifying the geometrical shape of the MR damper
9. ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants
10. Performance of Bayesian and BLUP alphabets for genomic prediction: analysis, comparison and results
11. A Review: High Amplitude Vibration and Jump Phenomena Attenuation Methods in Different Dynamic Systems
12. QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)
13. ProkDBP: Toward more precise identification of prokaryotic DNA binding proteins
14. RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes
15. GWAS for main effects and epistatic interactions for grain morphology traits in wheat
16. GIpred: a computational tool for prediction of GIGANTEA proteins using machine learning algorithm
17. Protocol for In Silico Identification and Functional Annotation of Abiotic Stress–Responsive MicroRNAs in Crop Plants
18. Genomic Selection Using Bayesian Methods: Models, Software, and Application
19. Genome-Wide Association Study (GWAS) for Trait Analysis in Crops
20. Computational Analysis of Internally Grooved Absorber Tubes of Parabolic Trough Solar Collector for Constant Mass Flow Rate of the Heat Transfer Fluid
21. ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants.
22. mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net
23. Publisher Correction: miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides
24. PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
25. Improved recognition of splice sites in A. thaliana by incorporating secondary structure information into sequence-derived features: a computational study
26. Single-trait, multi-locus and multi-trait GWAS using four different models for yield traits in bread wheat
27. Evaluation of eight Bayesian genomic prediction models for three micronutrient traits in bread wheat (Triticum aestivum L.).
28. Computational Analysis of Internally Grooved Absorber Tubes of Parabolic Trough Solar Collector for Constant Mass Flow Rate of the Heat Transfer Fluid
29. Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus
30. miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides
31. Inferring gene regulatory networks using Kendall's tau correlation coefficient and identification of salinity stress responsive genes in rice
32. HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine
33. funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
34. Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle
35. QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)
36. Genetics of Fe, Zn, β-carotene, GPC and yield traits in bread wheat (Triticum aestivum L.) using multi-locus and multi-traits GWAS
37. PlDBPred: a novel computational model for discovery of DNA binding proteins in plants
38. ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants
39. An approach using random forest methodology for disease risk prediction using imbalanced case–control data in GWAS
40. A comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopes
41. Determination of window size and identification of suitable method for prediction of donor splice sites in rice (Oryza sativa) genome
42. PlDBPred: a novel computational model for discovery of DNA binding proteins in plants.
43. Evaluation of random forest regression for prediction of breeding value from genomewide SNPs
44. ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features
45. comparative analysis of amino acid encoding schemes for the prediction of flexible length linear B-cell epitopes.
46. Additional file 3 of PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
47. Additional file 1 of mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net
48. Additional file 1 of PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
49. Additional file 2 of PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
50. ToxA–Tsn1 Interaction for Spot Blotch Susceptibility in Indian Wheat: An Example of Inverse Gene-for-Gene Relationship
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