2024

KK Eldose, R Agarwal, P Dabhade, RAT Fathima, AKP Al, R Sridharan, Students' performance prediction using machine learning algorithms: a comparative study, Challenges and Opportunities in Industrial and Mechanical Engineering: A …

2023

P Sarbas, KS Sanoob, K Sravan, VS Hafiz, A Thomas, VV Panicker, Development of predictive models for order delivery risk in a Supply Chain: A Machine Learning approach, Emerging Trends in Mechanical and Industrial Engineering: Select Proceedings 

S Sunny, PB Prakash, G Gopakumar, PB Jayaraj,DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network,The Protein Journal 42 (4), 276-287

G Gopakumar, PM-Gati Shakti: A Case Study of Demand Forecasting, Preprints

PH Nishamol, S Bandyopadhyay, G GopakumarComputational Drug Repurposing using Power Graph Analysis of Integrated drug-target-disease network, IEEE Access

MSK Reddy, G Gopakumar,Maximum Demand Forecasting in the Delhi Region using Machine Learning,2023 International Conference on the Confluence of Advancements in Robotics 

G Gopakumar,PM-GATI SHAKTI: ADVANCING INDIA’S ENERGY FUTURE THROUGH DEMAND FORECASTING-ACASE STUDY, arXiv preprint arXiv:2308.07320

M SujayKumar Reddy, G Gopakumar,PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting--A Case Study,arXiv. org Papers 

2022

M Madhavan, G Gopakumar,DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction, Applied Intelligence 52 (5), 5342-5352

JV Antony, R Koya, PN Pournami, GG Nair, JP Balakrishnan, Protein secondary structure assignment using residual networks, Journal of Molecular Modeling 28 (9), 269

PB Jayaraj, S Sanjay, K Raja, G Gopakumar, UC Jaleel,Ligand based virtual screening using self-organizing maps, The Protein Journal, 1-11

K Athira, G Gopakumar, Breast cancer stage prediction: a computational approach guided by transcriptome analysis,  Molecular Genetics and Genomics 297 (6), 1467-1479

S Sunny, PB Prakash, G Gopakumar, PB Jayaraj,Deepbindppi: epitope-paratope prediction using attention based graph convolutional network

VV Nair, SP Pradeep, VS Nair, PN Pournami, G Gopakumar, PB Jayaraj,Deep Sequence Models for Ligand-Based Virtual Screening, Journal of Computational Biophysics and Chemistry 21 (02), 207-217

2021

P Dabhade, R Agarwal, KP Alameen, AT Fathima, R Sridharan, Educational data mining for predicting students’ academic performance using machine learning algorithms, Materials Today: Proceedings 47, 5260-5267

A Kanathezath, V Chembra, SK Padingare Variyath, GG Nair, Identification of biomarkers and functional modules from genomic data in stage-wise breast cancer, Current Bioinformatics 16 (5), 722-733

APB Jayaraj, KM Mithun, G Gopakumar, UCA Jaleel,  GPU based virtual screening tool using SOM, International Journal of Computational Biology and Drug Design 14 (1), 64-80

 2020

K Athira, G Gopakumar, An integrated method for identifying essential proteins from multiplex network model of protein–protein interactions, Journal of Bioinformatics and Computational Biology 18 (04), 2050020

SK PV, A Thahsin, M Manju, G Gopakumar, A Heterogeneous Information Network Model for Long Non-Coding RNA Function Prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …

M Madhavan, R Stephen, G Gopakumar, Prediction of lncRNA-Cancer Association Using Topic Model on Graphs, Advances in Machine Learning and Computational Intelligence: Proceedings of …

2019

PV Sunil Kumar, G Gopakumar,Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model, Journal of Bioinformatics and Computational Biology 17 (04), 1950020

SK PV, G Gopakumar,Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model., Journal of Bioinformatics and Computational Biology 17 (4), 1950020-1950020

2018

M Madhavan, A tf-idf based topic model for identifying lncRNAs from genomic background, Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 40-46,

CM Sreeshma, M Manu, G GopaKumar, Identification of long non-coding RNA from inherent features using machine learning techniques, 2018 International Conference on Bioinformatics and Systems Biology (BSB …

PVS Kumar, M Manju, G Gopakumar, Function prediction of cancer-related LncRNAs using heterogeneous information network model, International Journal of Data Mining and Bioinformatics 21 (4), 315-338

M Madhavan, GG Nair, An effective sequence structure representation for long non-coding rna identification and cancer association using machine learning methods, ACM SIGAPP Applied Computing Review 18 (3), 49-58

PVS Kumar, G Gopakumar, Relrank: An Algorithm for Relevance-Based Ranking of Meta-Paths in a Heterogeneous Information Network, 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 98-102

2016

PB Jayaraj, MK Ajay, M Nufail, G Gopakumar, UCA Jaleel, GPURFSCREEN: a GPU based virtual screening tool using random forest classifier, Journal of cheminformatics 8, 1-10

PB Jayaraj, K Rahamathulla, G Gopakumar, A GPU based maximum common subgraph algorithm for drug discovery applications, 2016 IEEE international parallel and distributed processing symposium …

PV Eric, G Gopalakrishnan, M Karunakaran, An optimal seed based compression algorithm for DNA sequences Advances in bioinformatics 2016 (1), 3528406

PV Eric, K Rajput, G Gopakumar, An Improved Method to Identify Exact and Approximate Tandem Repeats in DNA Sequences using Biclustering,International Journal of Computer Applications 975, 8887

2015

VR Deepthi, G Gopakumar, Clustering of protein-protein interaction network using fractal dimension of protein subnetworks, TENCON 2015-2015 IEEE Region 10 Conference, 1-5

PH Nishamol, G Gopakumar, Multi-target drug discovery using system polypharmacology-state of the art, 2015 IEEE International Conference on Signal Processing, Informatics …

2011

Gopakumar, G, Nair AS.  2011.  Fractal Dimensions of Protein Sequences in a Protein-Protein Interaction Network Enables Prediction of Hubness Property, may. Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on. :1-4. Abstract

Gopakumar, G, Nair AS.  2011.  Lacunarity Analysis of Genomic Sequences: A Potential Bio-Sequence Analysis Method, may. Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on. :1-4. Abstract

Gopakumar, G, Nair AS.  2011.  Lacunarity Analysis of Protein Sequences Reveal Fractal Like Behavior of Amino Acid Distributions. Advances in Computing and Communications. 190(Abraham, Ajith, Lloret Mauri, Jaime, Buford, JohnF., Suzuki, Junichi, Thampi, SabuM., Eds.).:320-327.: Springer Berlin Heidelberg Abstract

2010

GG Nair, AS Nair, Fractality of numeric and symbolic sequences, IEEE Potentials 29 (2), 36-39

2009

DB Whyte, GG Nair, AS Nair, OV Oommen, GEN-SNiP: an online tool to find polymorphisms in a genome, In silico biology 9 (5-6), 333-336

2008

G Gopakumar, AS Nair, Biolets: Statistical approach to Biological random sequence Generation, Malaysian Journal of Computer Science 21 (2), 116-121

MAL Anto, G Gopakumar, AS Nair, I Ghosh, GENFOCS–A Comparative Tool on Gene Finding with Sensitivity and Specificity, Bioinformatics Research and Development: Second International Conference …

Computer Networks Laboratory

Semester :  Winter

Offered :  2013

Computational Intelligence

Semester : Winter

Offered :  2013

DBLP Link

Google Scholar Link

• Bioinformatics, Machine Learning, Data MIning