Tanmaya Kumar Sahu

Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC

Prabina Kumar Meher, Tanmaya Kumar Sahu, Varsha Saini et al. · Scientific Reports · 2017 · 507 citations · Full text

Prediction of donor splice sites using random forest with a new sequence encoding approach

Prabina Kumar Meher, Tanmaya Kumar Sahu, A. R. Rao · BioData Mining · 2016 · 52 citations · Full text

ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features

Prabina Kumar Meher, Shbana Begam, Tanmaya Kumar Sahu et al. · International Journal of Molecular Sciences · 2022 · 28 citations · Full text

funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Prabina Kumar Meher, Tanmaya Kumar Sahu, Shachi Gahoi et al. · BMC Genetics · 2019 · 27 citations · Full text

Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features

Prabina Kumar Meher, Tanmaya Kumar Sahu, A. R. Rao et al. · Algorithms for Molecular Biology · 2016 · 26 citations · Full text