Extended graphical lasso for multiple interaction networks for high dimensional omics data

Yang Xu, Hongmei Jiang, Wenxin Jiang

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DOI: 10.1371/journal.pcbi.1008794
Published: 2021-10-20
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1008794,
  title = {Extended graphical lasso for multiple interaction networks for high dimensional omics data},
  author = {Yang Xu and Hongmei Jiang and Wenxin Jiang},
  year = {2021},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1008794},
  url = {https://doi.org/10.1371/journal.pcbi.1008794}
}

RIS

TY  - JOUR
TI  - Extended graphical lasso for multiple interaction networks for high dimensional omics data
AU  - Yang Xu
AU  - Hongmei Jiang
AU  - Wenxin Jiang
PY  - 2021
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1008794
UR  - https://doi.org/10.1371/journal.pcbi.1008794
ER  -

APA

Xu, Y., Jiang, H., & Jiang, W. (2021). Extended graphical lasso for multiple interaction networks for high dimensional omics data. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1008794

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crossref · retrieved 2026-09-25T02:58:04.878Z