Randomized singular value decomposition for integrative subtype analysis of `omics data' using non-negative matrix factorization
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Publication:6144031
DOI10.1515/SAGMB-2022-0047zbMath1530.92095MaRDI QIDQ6144031
Yonghui Ni, Jianghua He, Prabhakar Chalise
Publication date: 5 January 2024
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
Cites Work
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
- Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
- SVD based initialization: A head start for nonnegative matrix factorization
- Learning the parts of objects by non-negative matrix factorization
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