Tapas Bhadra

Orcid: 0000-0001-8421-1072

According to our database1, Tapas Bhadra authored at least 13 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
A Cloud-Based DNA Cryptography ( CBDC ) for Enhanced Data Protection.
Secur. Priv., 2025

2024
DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis.
Netw. Model. Anal. Health Informatics Bioinform., December, 2024

2023
Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data.
Frontiers Bioinform., May, 2023

2022
Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering With Singular Value Decomposition: An Integrative Biomarker Discovery Method With Application to Acute Myeloid Leukemia.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer.
BMC Bioinform., 2022

2021
Supervised feature selection using integration of densest subgraph finding with floating forward-backward search.
Inf. Sci., 2021

2019
Identification of Multiview Gene Modules Using Mutual Information-Based Hypograph Mining.
IEEE Trans. Syst. Man Cybern. Syst., 2019

A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data.
Proceedings of the Multi-Objective Optimization - Evolutionary to Hybrid Framework, 2018

2015
Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information.
J. Multiple Valued Log. Soft Comput., 2015

Unsupervised feature selection using an improved version of Differential Evolution.
Expert Syst. Appl., 2015

2014
Integration of dense subgraph finding with feature clustering for unsupervised feature selection.
Pattern Recognit. Lett., 2014


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