Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.

Bilenko NY, Gallant JL

DOI: 10.3389/fninf.2016.00049
Published: 2016
Container: Frontiers in neuroinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fninf.2016.00049,
  title = {Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.},
  author = {Bilenko NY and Gallant JL},
  year = {2016},
  journal = {Frontiers in neuroinformatics},
  doi = {10.3389/fninf.2016.00049},
  url = {https://doi.org/10.3389/fninf.2016.00049}
}

RIS

TY  - JOUR
TI  - Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.
AU  - Bilenko NY
AU  - Gallant JL
PY  - 2016
JO  - Frontiers in neuroinformatics
DO  - 10.3389/fninf.2016.00049
UR  - https://doi.org/10.3389/fninf.2016.00049
ER  -

APA

NY, B., & JL, G. (2016). Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging.. Frontiers in neuroinformatics. https://doi.org/10.3389/fninf.2016.00049

Source records

pubmed · retrieved 2026-09-25T21:13:46.447Z