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Dr. Tanmaya Kumar Sahu
Dr. Tanmaya Kumar Sahu
Scientist, School of Bioinformatics, ICAR-Indian Institute of Agricultural Biotechnology, Ranchi
Verified email at icar.gov.in
Title
Cited by
Cited by
Year
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
4802017
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
522016
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
282016
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
272019
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
242016
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
232022
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
232018
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
232014
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
172018
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
162017
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
122015
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
112016
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
102019
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 17 (1), e20259, 2024
92024
Identification of Novel Broad-Spectrum Leaf Rust Resistance Sources from Khapli Wheat Landraces
K Raghunandan, J Tanwar, SN Patil, AK Chandra, S Tyagi, P Agarwal, ...
Plants 11 (15), 1965, 2022
82022
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
82015
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
62019
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
62016
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
52023
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
52022
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