Abhigyan Nath

According to our database, Abhigyan Nath authored at least 14 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

2021

Prediction for understanding the effectiveness of antiviral peptides.

Abhigyan Nath

Comput. Biol. Chem., 2021

2020

A representation transfer learning approach for enhanced prediction of growth hormone binding proteins.

Amisha Yadav, Roopshikha Sahu, Abhigyan Nath

Comput. Biol. Chem., 2020

Improved cytokine-receptor interaction prediction by exploiting the negative sample space.

Abhigyan Nath, André Leier

BMC Bioinform., 2020

2019

Prediction and molecular insights into fungal adhesins and adhesin like proteins.

Abhigyan Nath

Comput. Biol. Chem., 2019

2018

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

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

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

2016

Unsupervised learning assisted robust prediction of bioluminescent proteins.

Abhigyan Nath, Karthikeyan Subbiah

Comput. Biol. Medicine, 2016

2015

Identification of human drug targets using machine-learning algorithms.

Priyanka Kumari, Abhigyan Nath, Radha Chaube

Comput. Biol. Medicine, 2015

Maximizing lipocalin prediction through balanced and diversified training set and decision fusion.

Abhigyan Nath, Karthikeyan Subbiah

Comput. Biol. Chem., 2015

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

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

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

2013

An insight into the molecular basis for convergent evolution in fish antifreeze Proteins.

Abhigyan Nath, Radha Chaube, Karthikeyan Subbiah

Comput. Biol. Medicine, 2013