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Author

Tapas Bhadra

Observed name: Bhadra, Tapas
Institution: Aliah University
ORCID: 0000-0001-8421-1072
Observed ORCID: 0000-0001-8421-1072
OpenAlex ID: A5025631339
Integration of dense subgraph finding with feature clustering for unsupervised feature selection
2013 · Sanghamitra Bandyopadhyay, Tapas Bhadra, et al. · Pattern Recognition Letters · 64
Unsupervised feature selection using an improved version of Differential Evolution
2014 · Tapas Bhadra, Sanghamitra Bandyopadhyay · Expert Systems with Applications · 56
Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
2022 · Soumita Seth, Saurav Mallik, et al. · Frontiers in Genetics · 52
Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data
2017 · Saurav Mallik, Tapas Bhadra, et al. · IEEE Transactions on NanoBioscience · 45
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
2022 · Tapas Bhadra, Saurav Mallik, et al. · BMC Bioinformatics · 44
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A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression Data
2020 · Saurav Mallik, Soumita Seth, et al. · Genes · 37
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Supervised feature selection using integration of densest subgraph finding with floating forward–backward search
2021 · Tapas Bhadra, Sanghamitra Bandyopadhyay · Information Sciences · 36
Identification of Multiview Gene Modules Using Mutual Information-Based Hypograph Mining
2017 · Tapas Bhadra, Saurav Mallik, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 33
Differential Evolution Based Optimization of SVM Parameters for Meta Classifier Design
2012 · Tapas Bhadra, Sanghamitra Bandyopadhyay, et al. · Procedia Technology · 29
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MicroRNA Transcription Start Site Prediction with Multi-objective Feature Selection
2012 · Malay Bhattacharyya, Lars Feuerbach, et al. · Statistical Applications in Genetics and Molecular Biology · 24
DTFP-Growth: Dynamic Threshold-Based FP-Growth Rule Mining Algorithm Through Integrating Gene Expression, Methylation, and Protein–Protein Interaction Profiles
2018 · Saurav Mallik, Tapas Bhadra, et al. · IEEE Transactions on NanoBioscience · 14
Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering
2023 · Soumita Seth, Saurav Mallik, et al. · Mathematics · 11
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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
2021 · Tapas Bhadra, Saurav Mallik, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 10
Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information.
2015 · Sanghamitra Bandyopadhyay, Tapas Bhadra, et al. · 9
DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-Specific Study
2013 · Tapas Bhadra, Malay Bhattacharyya, et al. · PLoS ONE · 9
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Feature Selection, Clustering, and IoMT on Biomedical Engineering for COVID-19 Pandemic: A Comprehensive Review
2023 · Atikul Islam, Soumita Seth, et al. · Journal of Data Science and Intelligent Systems · 8
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Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm
2022 · Tapas Bhadra, Ujjwal Maulik · IEEE Transactions on Emerging Topics in Computational Intelligence · 5
Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data
2018 · Saurav Mallik, Tapas Bhadra, et al. · Springer eBooks · 5
DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
2024 · Suparna Saha, Soumita Seth, et al. · Network Modeling Analysis in Health Informatics and Bioinformatics · 3
A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer
2019 · Saurav Mallik, Soumita Seth, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 3
Integrating Deep Learning and Next-Generation Medical Image Data for Rare Disease Stage Detection
2024 · Saurav Mallik, Loveleen Gaur, et al. · River Publishers eBooks · 2
Enhancing Healthcare Image Security with DNA Cryptography in the IOT Environment
2024 · Animesh Kairi, Tapas Bhadra, et al. · 2
An Innovative Method for DNA Cryptography-Based Digital Signature Verification
2024 · Animesh Kairi, Tapas Bhadra, et al. · Lecture notes in networks and systems · 2
A Review of Computational Learning and IoT Applications to High‐Throughput Array‐Based Sequencing and Medical Imaging Data in Drug Discovery and Other Health Care Systems
2022 · Soham Choudhuri, Saurav Mallik, et al. · 2
Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference
2019 · Saurav Mallik, Ujjwal Maulik, et al. · IntechOpen eBooks · 2
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Works count: 48
Citation count: 512
H-index: 11
I10-index: 13
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