An insight into the molecular basis for convergent evolution in fish antifreeze Proteins. - Abhigyan Nath; Radha Chaube; Karthikeyan Subbiah (Comput. Biol. Medicine, 2013)

Inferring biological basis about psychrophilicity by interpreting the rules generated from the correctly classified input instances by a classifier. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2014)

Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. - Anoop Kumar Tiwari; Abhigyan Nath; Karthikeyan Subbiah; Kaushal Kumar Shukla (ICNC, 2015)

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2015)

Identification of human drug targets using machine-learning algorithms. - Priyanka Kumari; Abhigyan Nath; Radha Chaube (Comput. Biol. Medicine, 2015)

Unsupervised learning assisted robust prediction of bioluminescent proteins. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Medicine, 2016)

Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes. - Abhigyan Nath; Karthikeyan Subbiah (Comput. Biol. Chem., 2017)

Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. - Anoop Kumar Tiwari; Abhigyan Nath; Karthikeyan Subbiah; Kaushal Kumar Shukla (Int. J. Pattern Recognit. Artif. Intell., 2017)

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. - Abhigyan Nath; Karthikeyan Subbiah (Neurocomputing, 2018)

Prediction and molecular insights into fungal adhesins and adhesin like proteins. - Abhigyan Nath (Comput. Biol. Chem., 2019)

Improved cytokine-receptor interaction prediction by exploiting the negative sample space. - Abhigyan Nath; André Leier (BMC Bioinform., 2020)

A representation transfer learning approach for enhanced prediction of growth hormone binding proteins. - Amisha Yadav; Roopshikha Sahu; Abhigyan Nath (Comput. Biol. Chem., 2020)

Prediction for understanding the effectiveness of antiviral peptides. - Abhigyan Nath (Comput. Biol. Chem., 2021)

Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity. - Rachita Nanda; Abhigyan Nath; Suprava Patel; Eli Mohapatra (Medical Biol. Eng. Comput., 2022)

A novel intuitionistic fuzzy rough instance selection and attribute reduction with kernelized intuitionistic fuzzy C-means clustering to handle imbalanced datasets. - Anoop Kumar Tiwari; Abhigyan Nath; Rakesh Kumar Pandey; Priti Maratha (Expert Syst. Appl., 2024)