Network principal component analysis: a versatile tool for the investigation of multigroup and multiblock datasets.

Codesido S, Hanafi M, Gagnebin Y, González-Ruiz V, Rudaz S, Boccard J.

DOI: 10.1093/bioinformatics/btaa954
Published: 2021-06-01
Container: Bioinformatics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btaa954,
  title = {Network principal component analysis: a versatile tool for the investigation of multigroup and multiblock datasets.},
  author = {Codesido S and  Hanafi M and  Gagnebin Y and  González-Ruiz V and  Rudaz S and  Boccard J.},
  year = {2021},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btaa954},
  url = {https://doi.org/10.1093/bioinformatics/btaa954}
}

RIS

TY  - JOUR
TI  - Network principal component analysis: a versatile tool for the investigation of multigroup and multiblock datasets.
AU  - Codesido S
AU  -  Hanafi M
AU  -  Gagnebin Y
AU  -  González-Ruiz V
AU  -  Rudaz S
AU  -  Boccard J.
PY  - 2021
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btaa954
UR  - https://doi.org/10.1093/bioinformatics/btaa954
ER  -

APA

S, C., M, H., Y, G., V, G., S, R., & J., B. (2021). Network principal component analysis: a versatile tool for the investigation of multigroup and multiblock datasets.. Bioinformatics. https://doi.org/10.1093/bioinformatics/btaa954

Source records

europe-pmc · retrieved 2026-09-27T10:10:17.665Z
hal · retrieved 2026-09-27T10:10:17.699Z