miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di-nucleotides PK Meher, S Satpathy, AR Rao Scientific Reports 10 (1), 14557, 2020 | 11 | 2020 |
HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine PK Meher, TK Sahu, K Raghunandan, S Gahoi, NK Choudhury, AR Rao Scientific Reports 9 (1), 778, 2019 | 11 | 2019 |
PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel PK Meher, A Mohapatra, S Satpathy, A Sharma, I Saini, SK Pradhan, ... Plant Methods 17 (1), 46, 2021 | 6 | 2021 |
Evaluating the performance of sequence encoding schemes and machine learning methods for splice sites recognition PK Meher, TK Sahu, S Gahoi, S Satpathy, AR Rao Gene 705, 113-126, 2019 | 5 | 2019 |
Trend and change point analysis of rainfall of various districts of Bihar N Varshney, S Satpathy Int Res J Agricultural Econ Stat 8 (2), 393-400, 2017 | 2 | 2017 |
Improved recognition of splice sites in A. thaliana by incorporating secondary structure information into sequence-derived features: a computational study PK Meher, S Satpathy 3 Biotech 11 (11), 484, 2021 | 1 | 2021 |
Publisher Correction: miRNALoc: predicting miRNA subcellular localizations based on principal component scores of physico-chemical properties and pseudo compositions of di … PK Meher, S Satpathy, AR Rao Scientific Reports 11, 2021 | | 2021 |
SPLICE SITE PREDICTION IN AGRICULTURAL ORGANISMS BASED ON PRE-mRNA SECONDARY STRUCTURE INFORMATION AND SEQUENCE BASED FEATURES S SATPATHY ICAR-Indian Agricultural Statistics Research Institute, 2016 | | 2016 |