Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery.

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作者： Bhavana,Bansal ^[1] ; Anita,Sahoo ^[2]

作者单位： Department of CSE & IT, Jaypee Institute of Information Technology, Noida, India. Electronic address: bhavna0707@gmail.com. ^[1] Department of CSE & IT, Jaypee Institute of Information Technology, Noida, India. ^[2]

关键词 Cancer Subtype Identification Integrative Clustering Meta-heuristic Optimization Multi-omics Data Non-negative Matrix Factorization Survival Analysis

主题词人类(Humans);蛋白质组学(Proteomics);腺癌(Adenocarcinoma);结肠肿瘤(Colonic Neoplasms);基因组学(Genomics)

DOI 10.1016/j.cmpb.2022.107246

PMID 36434961

发布时间 2022-12-15

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Computer methods and programs in biomedicine

2023年228卷

107246页

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Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery.

Computer methods and programs in biomedicine

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Computer methods and programs in biomedicine

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Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery.

Computer methods and programs in biomedicine

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Computer methods and programs in biomedicine

相关期刊

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