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ORCIDAbhigyan Nath
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Journal Articles
- 2024
[j14]Anoop Kumar Tiwari, Abhigyan Nath
, Rakesh Kumar Pandey, Priti Maratha:
A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets. Expert Syst. Appl. 251: 124087 (2024)- 2022
- [j13]Rachita Nanda, Abhigyan Nath, Suprava Patel, Eli Mohapatra:
Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity. Medical Biol. Eng. Comput. 60(8): 2349-2357 (2022) - 2021
- [j12]Abhigyan Nath:
Prediction for understanding the effectiveness of antiviral peptides. Comput. Biol. Chem. 95: 107588 (2021) - 2020
- [j11]Abhigyan Nath, André Leier:
Improved cytokine-receptor interaction prediction by exploiting the negative sample space. BMC Bioinform. 21(1): 493 (2020) - [j10]Amisha Yadav, Roopshikha Sahu, Abhigyan Nath:
A representation transfer learning approach for enhanced prediction of growth hormone binding proteins. Comput. Biol. Chem. 87: 107274 (2020) - 2019
- [j9]Abhigyan Nath:
Prediction and molecular insights into fungal adhesins and adhesin like proteins. Comput. Biol. Chem. 80: 333-340 (2019) - 2018
- [j8]Abhigyan Nath, Karthikeyan Subbiah:
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. Neurocomputing 272: 294-305 (2018) - 2017
- [j7]Abhigyan Nath, Karthikeyan Subbiah:
Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes. Comput. Biol. Chem. 68: 29-38 (2017) - [j6]Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. Int. J. Pattern Recognit. Artif. Intell. 31(12): 1750040:1-1750040:15 (2017) - 2016
- [j5]Abhigyan Nath, Karthikeyan Subbiah:
Unsupervised learning assisted robust prediction of bioluminescent proteins. Comput. Biol. Medicine 68: 27-36 (2016) - 2015
- [j4]Abhigyan Nath, Karthikeyan Subbiah:
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion. Comput. Biol. Chem. 59: 101-110 (2015) - [j3]Priyanka Kumari, Abhigyan Nath, Radha Chaube:
Identification of human drug targets using machine-learning algorithms. Comput. Biol. Medicine 56: 175-181 (2015) - 2014
- [j2]Abhigyan Nath, Karthikeyan Subbiah:
Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier. Comput. Biol. Chem. 53: 198-203 (2014) - 2013
- [j1]Abhigyan Nath, Radha Chaube, Karthikeyan Subbiah:
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins. Comput. Biol. Medicine 43(7): 817-821 (2013)
Conference and Workshop Papers
- 2015
- [c1]Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla:
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. ICNC 2015: 691-695
Coauthor Index
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