Tapas Bhadra
Title
Cited by
Cited by
Year
Integration of dense subgraph finding with feature clustering for unsupervised feature selection
S Bandyopadhyay, T Bhadra, P Mitra, U Maulik
Pattern Recognition Letters 40, 104-112, 2014
462014
Unsupervised feature selection using an improved version of differential evolution
T Bhadra, S Bandyopadhyay
Expert Systems with Applications 42 (8), 4042-4053, 2015
442015
Identifying epigenetic biomarkers using maximal relevance and minimal redundancy based feature selection for multi-omics data
S Mallik, T Bhadra, U Maulik
IEEE transactions on nanobioscience 16 (1), 3-10, 2017
362017
MicroRNA transcription start site prediction with multi-objective feature selection
M Bhattacharyya, L Feuerbach, T Bhadra, T Lengauer, S Bandyopadhyay
Statistical applications in genetics and molecular biology 11 (1), 2012
292012
Differential evolution based optimization of SVM parameters for meta classifier design
T Bhadra, S Bandyopadhyay, U Maulik
Procedia Technology 4, 50-57, 2012
282012
Identification of multiview gene modules using mutual information-based hypograph mining
T Bhadra, S Mallik, S Bandyopadhyay
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (6), 1119-1130, 2017
142017
DTFP-Growth: dynamic threshold-based FP-Growth rule mining algorithm through integrating Gene Expression, Methylation, and Protein–Protein Interaction Profiles
S Mallik, T Bhadra, A Mukherji
IEEE transactions on nanobioscience 17 (2), 117-125, 2018
72018
DNA methylation patterns facilitate the identification of microRNA transcription start sites: a brain-specific study
T Bhadra, M Bhattacharyya, L Feuerbach, T Lengauer, S Bandyopadhyay
PloS one 8 (6), e66722, 2013
62013
Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information.
S Bandyopadhyay, T Bhadra, U Maulik
Journal of Multiple-Valued Logic & Soft Computing 25, 2015
52015
A linear regression and deep learning approach for detecting reliable genetic alterations in cancer using dna methylation and gene expression data
S Mallik, S Seth, T Bhadra, Z Zhao
Genes 11 (8), 931, 2020
32020
Multi-Objective Optimization Approaches in Biological Learning System on Microarray Data
S Mallik, T Bhadra, S Seth, S Bandyopadhyay, J Chen
Multi-Objective Optimization, 159-180, 2018
32018
Supervised feature selection using integration of densest subgraph finding with floating forward–backward search
T Bhadra, S Bandyopadhyay
Information Sciences 566, 1-18, 2021
12021
A Multi-classifier Model to Identify Mitochondrial Respiratory Gene Signatures in Human Cancer
S Mallik, S Seth, T Bhadra, N Tomar, Z Zhao
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
12019
Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference
S Mallik, U Maulik, N Tomar, T Bhadra, A Mukhopadhyay, A Mukherji
Modulating Gene Expression-Abridging the RNAi and CRISPR-Cas9 Technologies, 2019
2019
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