G. Gopakumar

发表

Breast Mass Classification Using Classic Neural Network Architecture and Support Vector Machine

J. J. Nair, R. Priya, V. Sreelekshmi, 2021 .

Understanding SNP — Gene associations in pancreatic cancer: A systems biology approach

K. A. Abdul Nazeer, M. Pradhan, M. Palakal, 2015, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).

Breast cancer stage prediction: a computational approach guided by transcriptome analysis

K. Athira, G. Gopakumar, 2022, Molecular Genetics and Genomics.

An Improved Method to Identify Exact and Approximate Tandem Repeats in DNA Sequences using Biclustering

Pamela Vinitha Eric, Kusum Rajput, G Gopakumar, 2016 .

DBNLDA: Deep Belief Network based representation learning for lncRNA-disease association prediction pdf

Manu Madhavan, G Gopakumar, G. Gopakumar, 2020, Applied Intelligence.

Morphology based Classification of Leukemia Cell lines: K562 and MOLT in a Microfluidics based Imaging Flow Cytometer

Gorthi R. K. Sai Subrahmanyam, G. Gopakumar, Gorthi Sai Siva, 2014, ICVGIP.

Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines

Gorthi R. K. Sai Subrahmanyam, G. Gopakumar, G. Gopakumar, 2019, Handbook of Deep Learning Applications.

Cytopathological image analysis using deep-learning networks in microfluidic microscopy.

Sai Siva Gorthi, Deepak Mishra, G Gopakumar, 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.

A self organizing map-harmony search hybrid algorithm for clustering biological data

Mathew J. Palakal, Meeta Pradhan, K. A. Abdul Nazeer, 2015, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).

Ligand Based Virtual Screening Using Self-organizing Maps

G. Gopakumar, U. Jaleel, P. Jayaraj, 2022, The Protein Journal.

GPURFSCREEN: a GPU based virtual screening tool using random forest classifier

U. C. Abdul Jaleel, P. B. Jayaraj, Mathias K. Ajay, 2016, Journal of Cheminformatics.

A tf-idf based topic model for identifying lncRNAs from genomic background

Manu Madhavan, G. Gopakumar, G. G, 2018, SAC.

Prediction of lncRNA-Cancer Association Using Topic Model on Graphs

Manu Madhavan, Reshma Stephen, G Gopakumar, 2020 .

Improved Transfer Learning through Shallow Network Embedding for Classification of Leukemia Cells

Gorthi R. K. Sai Subrahmanyam, G. Gopakumar, Gorthi Sai Siva, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

An integrated method for identifying essential proteins from multiplex network model of protein-protein interactions

K. Athira, G. Gopakumar, G. Gopakumar, 2020, J. Bioinform. Comput. Biol..

Clustering of protein-protein interaction network using fractal dimension of protein subnetworks

V. R. Deepthi, G. Gopakumar, V. Deepthi, 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

Educational data mining for predicting students’ academic performance using machine learning algorithms

R. Sridharan, G. Gopakumar, P. Dabhade, 2021, Materials Today: Proceedings.

Framework for morphometric classification of cells in imaging flow cytometry

Sai Siva Gorthi, G Gopakumar, Veerendra Kalyan Jagannadh, 2016, Journal of microscopy.

Inferring disease and pathway associations of long non-coding RNAs using heterogeneous information network model

P. V. Sunil Kumar, G. Gopakumar, G. Gopakumar, 2019, J. Bioinform. Comput. Biol..

Automatic detection of Malaria infected RBCs from a focus stack of bright field microscope slide images

Gorthi R. K. Sai Subrahmanyam, M. Swetha, G. Gopakumar, 2016, ICVGIP '16.

Identification of Long Non-coding RNA from inherent features using Machine Learning Techniques

C. M. Sreeshma, Madhavan Manu, G. GopaKumar, 2018, 2018 International Conference on Bioinformatics and Systems Biology (BSB).

Multi-target drug discovery using system polypharmacology-state of the art

G. Gopakumar, P. H. Nishamol, G. Gopakumar, 2015, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).

Notice of RetractionFractal Dimensions of Protein Sequences in a Protein-Protein Interaction Network Enables Prediction of Hubness Property

A. Nair, G. Gopakumar, 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.