| Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC PK Meher, TK Sahu, V Saini, AR Rao Scientific reports 7, 42362, 2017 | 422 | 2017 |
| Prediction of donor splice sites using random forest with a new sequence encoding approach PK Meher, TK Sahu, AR Rao BioData mining 9 (1), 4, 2016 | 47 | 2016 |
| Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features PK Meher, TK Sahu, AR Rao, SD Wahi Algorithms for Molecular Biology 11 (1), 16, 2016 | 27 | 2016 |
| funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model PK Meher, TK Sahu, S Gahoi, R Tomar, AR Rao BMC genetics 20 (1), 2, 2019 | 22 | 2019 |
| ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine PK Meher, TK Sahu, S Gahoi, AR Rao Frontiers in genetics 8, 235, 2018 | 22 | 2018 |
| A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data PK Meher, TK Sahu, AR Rao, SD Wahi BMC bioinformatics 15 (1), 362, 2014 | 22 | 2014 |
| Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier PK Meher, TK Sahu, AR Rao Gene 592 (2), 316-324, 2016 | 20 | 2016 |
| nifPred: Proteome-wide identification and categorization of nitrogen-fixation proteins of diaztrophs based on composition-transition-distribution features using support vector … PK Meher, TK Sahu, J Mohanty, S Gahoi, S Purru, M Grover, AR Rao Frontiers in microbiology 9, 1100, 2018 | 15 | 2018 |
| DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins PK Meher, TK Sahu, A Banchariya, AR Rao BMC Bioinformatics 18 (1), 190, 2017 | 14 | 2017 |
| ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features PK Meher, S Begam, TK Sahu, A Gupta, A Kumar, U Kumar, AR Rao, ... International Journal of Molecular Sciences 23 (3), 1612, 2022 | 12 | 2022 |
| 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 |
| Functional screening and molecular characterization of halophilic and halotolerant bacteria by 16S rRNA gene sequence analysis BK Behera, P Das, J Maharana, DK Meena, TK Sahu, AR Rao, ... Proceedings of the National Academy of Sciences, India Section B: Biological …, 2015 | 11 | 2015 |
| A computational approach for prediction of donor splice sites with improved accuracy PK Meher, TK Sahu, AR Rao, SD Wahi Journal of Theoretical Biology 404, 285-294, 2016 | 10 | 2016 |
| Computational prediction of MHC class I epitopes for most common viral diseases in cattle (Bos taurus) TK Sahu, AR Rao, PK Meher, BC Sahoo, S Gupta, A Rai IJBB 52, 34-44, 2015 | 8 | 2015 |
| Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice PK Meher, TK Sahu, AR Rao The Indian Journal of Genetics and Plant Breeding 76 (2), 2016 | 6 | 2016 |
| 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 |
| An Improved Machine Learning-Based Approach to Assess the Microbial Diversity in Major North Indian River Ecosystems N Choudhury, TK Sahu, AR Rao, AK Rout, BK Behera Genes 14 (5), 1082, 2023 | 4 | 2023 |
| Transcriptome Analysis of Bread Wheat Genotype KRL3-4 Provides a New Insight Into Regulatory Mechanisms Associated with Sodicity (High pH) Tolerance G Prasad, S Mittal, A Kumar, D Chauhan, TK Sahu, S Kumar, R Singh, ... Frontiers in Genetics 12, 782366, 2022 | 4 | 2022 |
| ASRpro: A machine‐learning computational model for identifying proteins associated with multiple abiotic stress in plants PK Meher, TK Sahu, A Gupta, A Kumar, S Rustgi The Plant Genome, e20259, 2022 | 3 | 2022 |
| G-DIRT: a web server for identification and removal of duplicate germplasms based on identity-by-state analysis using single nucleotide polymorphism genotyping data TK Sahu, AK Singh, S Mittal, SK Jha, S Kumar, SR Jacob, K Singh Briefings in Bioinformatics 23 (5), bbac348, 2022 | 3 | 2022 |
