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G. Gopakumar

Observed names: G GopaKumar, G Gopakumar, G. GopaKumar, Gopakumar G, Gopakumar G., Gopakumar Gopalakrishnan, Gopakumar Gopalakrishnan Nair
Observed institutions: National Institute of Technology Calicut, University of Kerala, Purdue University in Indianapolis, Indian Institute of Information Technology Kottayam, Indiana University – Purdue University Indianapolis, Amrita Vishwa Vidyapeetham
ORCID: 0000-0002-4801-9259
Observed ORCIDs: 0000-0002-4801-9259, 0000-0003-1559-5150
OpenAlex ID: A5066840642
Educational data mining for predicting students’ academic performance using machine learning algorithms
2021 · Pranav Dabhade, Ravina Agarwal, et al. · Materials Today Proceedings · 141
GPURFSCREEN: a GPU based virtual screening tool using random forest classifier
2016 · P. B. Jayaraj, Mathias K. Ajay, et al. · Journal of Cheminformatics · 25
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DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction
2021 · Manu Madhavan, G. Gopakumar · Applied Intelligence · 23
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Integrating LLMs and Knowledge Graphs for Medical AI: Advances, Challenges, and Future Directions
2025 · Lino Murali, G Gopakumar, et al. · IEEE Journal of Biomedical and Health Informatics · 19
An Optimal Seed Based Compression Algorithm for DNA Sequences
2016 · Pamela Vinitha Eric, Gopakumar Gopalakrishnan, et al. · Advances in Bioinformatics · 13
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DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network
2023 · Sharon Sunny, Pebbeti Bhanu Prakash, et al. · The Protein Journal · 12
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Breast cancer stage prediction: a computational approach guided by transcriptome analysis
2022 · K. Athira, G. Gopakumar · Molecular Genetics and Genomics · 9
A GPU Based Maximum Common Subgraph Algorithm for Drug Discovery Applications
2016 · P. B. Jayaraj, K. Rahamathulla, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 9
A Heterogeneous Information Network Model for Long Non-Coding RNA Function Prediction
2020 · Sunil Kumar P V, Adheeba Thahsin, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 8
A self organizing map-harmony search hybrid algorithm for clustering biological data
2015 · Abin John George, G. Gopakumar, et al. · IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES) · 8
Development of Predictive Models for Order Delivery Risk in a Supply Chain: A Machine Learning Approach
2023 · P. Sarbas, K. S. Sanoob, et al. · Lecture notes in mechanical engineering · 7
Ligand Based Virtual Screening Using Self-organizing Maps
2022 · P. B. Jayaraj, S. Sanjay, et al. · The Protein Journal · 5
An integrated method for identifying essential proteins from multiplex network model of protein–protein interactions
2020 · K. Athira, G. Gopakumar · Journal of Bioinformatics and Computational Biology · 4
Identification of Long Non-coding RNA from inherent features using Machine Learning Techniques
2018 · C. M. Sreeshma, Madhavan Manu, et al. · International Conference on Bioinformatics and Systems Biology (BSB) · 4
Computational Drug Repurposing Using Power Graph Analysis of Integrated Drug-Target-Disease Network
2023 · P. H. Nishamol, Sourav Bandyopadhyay, et al. · IEEE Access · 3
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A tf-idf based topic model for identifying lncRNAs from genomic background
2018 · Manu Madhavan, Gopakumar G · ACM Symposium on Applied Computing · 3
Clustering of protein-protein interaction network using fractal dimension of protein subnetworks
2015 · V R Deepthi, G Gopakumar · IEEE Region 10 Conference (TENCON) · 3
Lacunarity analysis of genomic sequences: A potential bio-sequence analysis method
2011 · G. Gopakumar, Achuthsankar S. Nair · International Conference on Bioinformatics and Biomedical Engineering · 3
Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model
2019 · P. V. Sunil Kumar, G. Gopakumar · Journal of Bioinformatics and Computational Biology · 2
Multiplex network based cluster analysis for the identification of comorbidities in head and neck squamous cell carcinoma
2026 · P. Aparna, K. Greeshma, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 1
Breast Cancer Risk Analysis Using Deep Learning on Multi-omics Data Combined with Epigenetic Factors
2024 · M. Gireesh Kumar, P. Aparna, et al. · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · 1
Deep Sequence Models for Ligand-Based Virtual Screening
2022 · Viswajit Vinod Nair, Sonaal Pathlai Pradeep, et al. · Journal of Computational Biophysics and Chemistry · 1
Function prediction of cancer-related LncRNAs using heterogeneous information network model
2018 · P.V. Sunil Kumar, M. Manju, et al. · International Journal of Data Mining and Bioinformatics · 1
Notice of Retraction: Fractal Dimensions of Protein Sequences in a Protein-Protein Interaction Network Enables Prediction of Hubness Property
2011 · G. Gopakumar, Achuthsankar S. Nair · International Conference on Bioinformatics and Biomedical Engineering · 1
Biolets: Statistical Approach to Biological Random Sequence Generation
2008 · Vinod Chandra S. S, Gopakumar G, et al. · Malaysian Journal of Computer Science · 1
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Works count: 47
Citation count: 307
H-index: 8
I10-index: 6
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