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Abhigyan Nath
ORCID
Publication Activity (10 Years)
Years Active: 2013-2024
Publications (10 Years): 13
Top Topics
Training Dataset
Attribute Reduction
Intuitionistic Fuzzy
Mass Spectrometry Data
Top Venues
Comput. Biol. Chem.
Comput. Biol. Medicine
Int. J. Pattern Recognit. Artif. Intell.
BMC Bioinform.
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Publications
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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 (2024)
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) (2022)
Abhigyan Nath
Prediction for understanding the effectiveness of antiviral peptides.
Comput. Biol. Chem.
95 (2021)
Abhigyan Nath
,
André Leier
Improved cytokine-receptor interaction prediction by exploiting the negative sample space.
BMC Bioinform.
21 (1) (2020)
Amisha Yadav
,
Roopshikha Sahu
,
Abhigyan Nath
A representation transfer learning approach for enhanced prediction of growth hormone binding proteins.
Comput. Biol. Chem.
87 (2020)
Abhigyan Nath
Prediction and molecular insights into fungal adhesins and adhesin like proteins.
Comput. Biol. Chem.
80 (2019)
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 (2018)
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) (2017)
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 (2017)
Abhigyan Nath
,
Karthikeyan Subbiah
Unsupervised learning assisted robust prediction of bioluminescent proteins.
Comput. Biol. Medicine
68 (2016)
Abhigyan Nath
,
Karthikeyan Subbiah
Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.
Comput. Biol. Chem.
59 (2015)
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)
Priyanka Kumari
,
Abhigyan Nath
,
Radha Chaube
Identification of human drug targets using machine-learning algorithms.
Comput. Biol. Medicine
56 (2015)
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 (2014)
Abhigyan Nath
,
Radha Chaube
,
Karthikeyan Subbiah
An insight into the molecular basis for convergent evolution in fish antifreeze Proteins.
Comput. Biol. Medicine
43 (7) (2013)