Search Results - "Pati, Soumen Kumar"
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3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection
Published in Frontiers in genetics (14-02-2023)“…In this current era, biomedical big data handling is a challenging task. Interestingly, the integration of multi-modal data, followed by significant feature…”
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Gene selection of microarray data using Heatmap Analysis and Graph Neural Network
Published in Applied soft computing (01-03-2023)“…It is not feasible to investigate the whole genes at a microscopic level for disease classification in Genomics. It might take substantial time to execute any…”
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Missing value estimation for microarray data through cluster analysis
Published in Knowledge and information systems (01-09-2017)“…Microarray datasets with missing values need to impute accurately before analyzing diseases. The proposed method first discretizes the samples and temporarily…”
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Fractal Dimension-Based Infection Detection in Chest X-ray Images
Published in Applied biochemistry and biotechnology (01-04-2023)“…The current ongoing trend of dimension detection of medical images is one of the challenging areas which facilitates several improvements in accurate measuring…”
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Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm
Published in Knowledge and information systems (01-02-2020)“…In the era of digital boom, single classifier cannot perform well in various datasets. Ensemble classifier aims to bridge this performance gap by combining…”
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RETRACTED ARTICLE: Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
Published in Multimedia tools and applications (2024)“…After several waves of COVID-19 led to a massive loss of human life worldwide due to the changes in its variants and the vast explosion. Several researchers…”
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Missing value estimation of microarray data using Sim-GAN
Published in Knowledge and information systems (01-10-2022)“…Microarray data analysis needs utmost care as it plays a significant role in cancer study. Due to the excessive complexity of the data extraction process, it…”
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Drug discovery through Covid-19 genome sequencing with siamese graph convolutional neural network
Published in Multimedia tools and applications (10-05-2023)“…After several waves of COVID-19 led to a massive loss of human life worldwide due to the changes in its variants and the vast explosion. Several researchers…”
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PPIGCF: A Protein-Protein Interaction-Based Gene Correlation Filter for Optimal Gene Selection
Published in Genes (10-05-2023)“…Biological data at the omics level are highly complex, requiring powerful computational approaches to identifying significant intrinsic characteristics to…”
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DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (03-07-2024)“…Nowadays, cervical cancer is a leading cause of death among women. Determining the gene signature is one of the major issues in bioinformatics. Though many of…”
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Elucidating the molecular interaction of Zebrafish (Danio rerio) peptidoglycan recognition protein 2 with diaminopimelic acid and lysine type peptidoglycans using in silico approaches
Published in Journal of biomolecular structure & dynamics (12-08-2020)“…Peptidoglycan recognition proteins (PGRPs) belong to the family of pattern recognition receptor, represent the major constituent of innate immunity. Although…”
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CoWarriorNet: A Novel Deep-Learning Framework for CoVID-19 Detection from Chest X-Ray Images
Published in New generation computing (2022)“…Even after scavenging the existence of mankind for the past year, the wrath of CoVID-19 is yet to die down. Countries like India are still getting haunted by…”
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Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier
Published in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (06-12-2022)“…Chronic kidney disease (CKD) is as severe as cancer in today s world. It may even lead to the permanent failure of kidney. The initial detection of this…”
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