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Abhigyan Nath

Observed names: Abhigyan NATH, Nath, Abhigyan
ORCID: 0000-0003-1253-7115
Observed ORCID: 0000-0003-1253-7115
OpenAlex ID: A5004453727
Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
2021 · Manish Kumar Tripathi, Abhigyan Nath, et al. · Molecular Diversity · 151
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Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity
2022 · Rachita Nanda, Abhigyan Nath, et al. · Medical & Biological Engineering & Computing · 66
Identification of human drug targets using machine-learning algorithms
2014 · Priyanka Kumari, Abhigyan Nath, et al. · Computers in Biology and Medicine · 55
The role of pertinently diversified and balanced training as well as testing data sets in achieving the true performance of classifiers in predicting the antifreeze proteins
2017 · Abhigyan Nath, Karthikeyan Subbiah · Neurocomputing · 37
Symbolic regression and interpretable ensemble learning approach in determining early onset of diabetic peripheralneuropathy
2025 · Abhigyan Nath, Rachita Nanda, et al. · Egyptian Informatics Journal · 30
Insights into the sequence parameters for halophilic adaptation
2015 · Abhigyan Nath · Amino Acids · 30
Identification and characterization of trait-specific SNPs using ddRAD sequencing in water buffalo
2020 · D.C. Mishra, Poonam Sikka, et al. · Genomics · 29
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion
2015 · Abhigyan Nath, Karthikeyan Subbiah · Computational Biology and Chemistry · 26
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins
2013 · Abhigyan Nath, Radha Chaube, et al. · Computers in Biology and Medicine · 26
Prediction of Human Drug Targets and Their Interactions Using Machine Learning Methods: Current and Future Perspectives
2018 · Abhigyan Nath, Priyanka Kumari, et al. · Methods in molecular biology · 25
Insights into the molecular basis of piezophilic adaptation: Extraction of piezophilic signatures
2015 · Abhigyan Nath, Karthikeyan Subbiah · Journal of Theoretical Biology · 25
Hybrid similarity relation based mutual information for feature selection in intuitionistic fuzzy rough framework and its applications
2024 · Anoop Kumar Tiwari, Rajat Saini, et al. · Scientific Reports · 23
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A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets
2024 · Anoop Kumar Tiwari, Abhigyan Nath, et al. · Expert Systems with Applications · 21
Improved cytokine–receptor interaction prediction by exploiting the negative sample space
2020 · Abhigyan Nath, André Leier · BMC Bioinformatics · 21
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Exploiting ensemble learning to improve prediction of phospholipidosis inducing potential
2019 · Abhigyan Nath, Gopal Krishna Sahu · Journal of Theoretical Biology · 21
Unsupervised learning assisted robust prediction of bioluminescent proteins
2015 · Abhigyan Nath, Karthikeyan Subbiah · Computers in Biology and Medicine · 21
Prediction for understanding the effectiveness of antiviral peptides
2021 · Abhigyan Nath · Computational Biology and Chemistry · 18
Enhanced Prediction and Characterization of CDK Inhibitors Using Optimal Class Distribution
2016 · Abhigyan Nath, S. Karthikeyan · Interdisciplinary Sciences Computational Life Sciences · 18
Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier
2014 · Abhigyan Nath, Karthikeyan Subbiah · Computational Biology and Chemistry · 16
Inferring Relationship of Blood Metabolic Changes and Average Daily Gain With Feed Conversion Efficiency in Murrah Heifers: Machine Learning Approach
2020 · Poonam Sikka, Abhigyan Nath, et al. · Frontiers in Veterinary Science · 14
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Missing QoS-values predictions using neural networks for cloud computing environments
2015 · Sunil Kumar, Manish Kumar Pandey, et al. · International Conference on Computing and Network Communications · 14
Performance Analysis of Ensemble Supervised Machine Learning Algorithms for Missing Value Imputation
2016 · Sunil Kumar, Manish Kumar Pandey, et al. · International Conference on Computational Intelligence and Networks (CINE) · 13
Discrimination of Psychrophilic and Mesophilic Proteins Using Random Forest Algorithm
2012 · Abhigyan Nath, Radha Chaube, et al. · International Conference on Biomedical Engineering and Biotechnology · 13
Comparative study on machine learning techniques in predicting the QoS-values for web-services recommendations
2015 · Sunil Kumar, Manish Kumar Pandey, et al. · International Conference on Computing, Communication and Automation · 12
A representation transfer learning approach for enhanced prediction of growth hormone binding proteins
2020 · Amisha Yadav, Roopshikha Sahu, et al. · Computational Biology and Chemistry · 11
Works count: 62
Citation count: 832
H-index: 18
I10-index: 28
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