Výsledky vyhledávání - "Tapas Bhadra"

Akademický článek

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data

Autor: Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao

Publikováno v: Frontiers in Bioinformatics, Vol 3 (2023)

Introduction: Association rule mining (ARM) is a powerful tool for exploring the informative relationships among multiple items (genes) in any dataset. The main problem of ARM is that it generates many rules containing different rule-informative valu

Externí odkaz: https://doaj.org/article/4a37cdc3d24344158401e9f955af7656

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Akademický článek

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

Autor: Tapas Bhadra, Saurav Mallik, Neaj Hasan, Zhongming Zhao

Publikováno v: BMC Bioinformatics, Vol 23, Iss S3, Pp 1-19 (2022)

Abstract Background As many complex omics data have been generated during the last two decades, dimensionality reduction problem has been a challenging issue in better mining such data. The omics data typically consists of many features. Accordingly,

Externí odkaz: https://doaj.org/article/fa9d30e3248e4d33b9678ea016ec5941

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Akademický článek

Identifying Genetic Signatures from Single-Cell RNA Sequencing Data by Matrix Imputation and Reduced Set Gene Clustering

Autor: Soumita Seth, Saurav Mallik, Atikul Islam, Tapas Bhadra, Arup Roy, Pawan Kumar Singh, Aimin Li, Zhongming Zhao

Publikováno v: Mathematics, Vol 11, Iss 20, p 4315 (2023)

In this current era, the identification of both known and novel cell types, the representation of cells, predicting cell fates, classifying various tumor types, and studying heterogeneity in various cells are the key areas of interest in the analysis

Externí odkaz: https://doaj.org/article/dad797dc43164655a041b73a925f7781

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Akademický článek

Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data

Autor: Soumita Seth, Saurav Mallik, Tapas Bhadra, Zhongming Zhao

Publikováno v: Frontiers in Genetics, Vol 13 (2022)

The major interest domains of single-cell RNA sequential analysis are identification of existing and novel types of cells, depiction of cells, cell fate prediction, classification of several types of tumor, and investigation of heterogeneity in diffe

Externí odkaz: https://doaj.org/article/e99c69b11ab04123b0322a7a50b0872a

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Akademický článek

Correction: DNA Methylation Patterns Facilitate the Identification of MicroRNA Transcription Start Sites: A Brain-Specific Study.

Autor: Tapas Bhadra, Malay Bhattacharyya, Lars Feuerbach, Thomas Lengauer, Sanghamitra Bandyopadhyay

Publikováno v: PLoS ONE, Vol 8, Iss 12 (2013)

Externí odkaz: https://doaj.org/article/7e838623907e4c7ebac97ad99f0873f5

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Akademický článek

DNA methylation patterns facilitate the identification of microRNA transcription start sites: a brain-specific study.

Autor: Tapas Bhadra, Malay Bhattacharyya, Lars Feuerbach, Thomas Lengauer, Sanghamitra Bandyopadhyay

Publikováno v: PLoS ONE, Vol 8, Iss 6, p e66722 (2013)

Predicting the transcription start sites (TSSs) of microRNAs (miRNAs) is important for understanding how these small RNA molecules, known to regulate translation and stability of protein-coding genes, are regulated themselves. Previous approaches are

Externí odkaz: https://doaj.org/article/96423bdf5f9843c3ad39edcc9fc4b650

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Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm

Autor: Tapas Bhadra, Ujjwal Maulik

Publikováno v: IEEE Transactions on Emerging Topics in Computational Intelligence. 6:1453-1462

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7dac111287852cce473fb7c17291116
https://doi.org/10.1109/tetci.2022.3199704

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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

Autor: Soham Choudhuri, Saurav Mallik, Bhaswar Ghosh, Tapas Si, Tapas Bhadra, Ujjwal Maulik, Aimin Li

Publikováno v: Applied Smart Health Care Informatics. :83-109

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37d999b362765d5a02d8e8bde69c95c6
https://doi.org/10.1002/9781119743187.ch5

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Supervised feature selection using integration of densest subgraph finding with floating forward–backward search

Autor: Tapas Bhadra, Sanghamitra Bandyopadhyay

Publikováno v: Information Sciences. 566:1-18

In this paper, a novel approach of supervised feature selection is proposed based on the principle of dense subgraph discovery. To exploit dense subgraph discovery for the purpose of feature selection, the dataset is initially mapped to an equivalent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2eea728edfc14bc6ff2365ad41f01563
https://doi.org/10.1016/j.ins.2021.02.034

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Identification of Multiview Gene Modules Using Mutual Information-Based Hypograph Mining

Autor: Tapas Bhadra, Sanghamitra Bandyopadhyay, Saurav Mallik

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49:1119-1130

Detection of gene-modules is one of the fundamental tasks for the integral analysis of network architecture. In this paper, we propose a novel algorithm using an integrated approach comprising statistical method and normalized mutual information-base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63cc58f8c7cfe59c6997b1765f719a9b
https://doi.org/10.1109/tsmc.2017.2726553

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