Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Tapas Bhadra"'
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
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
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
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
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
https://doi.org/10.1109/tetci.2022.3199704
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
https://doi.org/10.1002/9781119743187.ch5
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
https://doi.org/10.1016/j.ins.2021.02.034
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
https://doi.org/10.1109/tsmc.2017.2726553
This book focuses on an eminent technology called next generation sequencing (NGS) which has entirely changed the procedure of examining organisms and will have a great impact on biomedical research and disease diagnosis. Numerous computational chall
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