Corpus ID: 211066596

Bidimensional linked matrix factorization for pan-omics pan-cancer analysis

@article{Lock2020BidimensionalLM,
  title={Bidimensional linked matrix factorization for pan-omics pan-cancer analysis},
  author={Eric F. Lock and Jun Young Park and Katherine A. Hoadley},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.02601}
}
  • Eric F. Lock, Jun Young Park, Katherine A. Hoadley
  • Published in ArXiv 2020
  • Computer Science, Mathematics, Biology
  • Several modern applications require the integration of multiple large data matrices that have shared rows and/or columns. For example, cancer studies that integrate multiple omics platforms across multiple types of cancer, pan-omics pan-cancer analysis, have extended our knowledge of molecular heterogenity beyond what was observed in single tumor and single platform studies. However, these studies have been limited by available statistical methodology. We propose a flexible approach to the… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 33 REFERENCES

    Integrative Factorization of Bidimensionally Linked Matrices

    VIEW 6 EXCERPTS

    Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

    VIEW 4 EXCERPTS

    Structural Learning and Integrative Decomposition of Multi-View Data.

    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL