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Browsing by Author/ PI/CoPI Tanmaya Kumar Sahu

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Showing results 1 to 16 of 16

Published/ Complete Date	Title	Author(s)/ PI/CoPI
30-Jan-2022	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; Ajit Gupta; Anuj Kumar; Upendra Kumar; Atmakuri Ramakrishna Rao; Krishna Pal Singh; Om Parkash Dhankher
7-Sep-2016	A computational approach for prediction of donor splice sites with improved accuracy	Prabina Kumar Meher; Tanmaya Kumar Sahu; A.R.Rao; S.D.Wah
9-Dec-2020	Computational insights into RNAi-based therapeutics for foot and mouth disease of Bos taurus.	Tanmaya Kumar Sahu; Anoop Kishor Singh Gurjar; Prabina Kumar Meher; Cini Varghese; Sudeep Marwaha; Govind Pratap Rao; Anil Rai; Neha Guleria; Suresh H. Basagoudanavar; Aniket Sanyal; Atmakuri Ramakrishna Rao
9-Dec-2020	Computational insights into RNAi‐based therapeutics for foot and mouth disease of Bos taurus	Tanmaya Kumar Sahu; Prabina Kumar Meher; Anoop Kishor SinghGurjar; CiniVarghese; Sudeep Marwaha; Govind Pratap Rao; Anil Rai; NehaGuleria; Suresh H. Basagoudanavar; Aniket Sanyal; A.R. Rao
1-Feb-2014	Computational prediction of MHC class I epitopes for most common viral diseases in cattle (Bos taurus).	Tanmaya Kumar Sahu; A R Rao; Prabina Kumar Meher; Bishnu Charan Sahoo; Satakshi Gupta; Anil Rai
18-Nov-2014	Determination of window size and identification of suitable method for prediction of donor splice sites in rice (Oryza sativa) genome	Prabina Kumar Meher; Tanmaya Kumar Sahu; A. R. Rao; S. D. Wahi
1-Nov-2016	Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle.	Prabina Kumar Meher; Tanmaya Kumar Sahu; A.R.Rao; S.D.Wahi
1-Jul-2019	Evaluating the performance of sequence encoding schemes and machine learning methods for splice sites recognition.	Prabina Kumar Meher; Tanmaya Kumar Sahu; Shachi Gahoi; Subhrajit Satpathy; Atmakuri Ramakrishna Rao
7-Jan-2019	funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model	Prabina Kumar Meher; Tanmaya Kumar Sahu; Shachi Gahoi; Ruchi Tomar; Atmakuri Ramakrishna Rao
24-Jan-2022	GIpred: a computational tool for prediction of GIGANTEA proteins using machine learning algorithm	Prabina Kumar Meher; Sagarika Dash; Tanmaya Kumar Sahu; Subhrajit Satpathy; Sukanta Kumar Pradhan
28-Jan-2019	HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine.	Prabina Kumar Meher; Tanmaya Kumar Sahu; K. Raghunandan; Shachi Gahoi; Nalini Kanta Choudhury; Atmakuri Ramakrishna Rao
1-Jun-2016	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; S D Wahi
5-Nov-2016	Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier	Prabina Kumar Meher; Tanmaya Kumar Sahu; A R Rao
1-May-2016	Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice	Prabina Kumar Meher; Tanmaya Kumar Sahu; A. R. Rao
22-Jan-2016	Prediction of donor splice sites using random forest with a new sequence encoding approach	Prabina Kumar Meher; Tanmaya Kumar Sahu; Atmakuri Ramakrishna Rao
25-Nov-2014	A statistical approach for 5’ splice site prediction using short sequence motifs and without encoding sequence data.	Prabina Kumar Meher; Tanmaya Kumar Sahu; Atmakuri Ramakrishna Rao; Sant Dass Wahi

Showing results 1 to 16 of 16