Assessing statistical significance in multivariable genome wide association analysis

Laura Buzdugan, Markus Kalisch, Arcadi Navarro, Daniel Schunk, Ernst Fehr, Peter Bühlmann

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DOI: 10.1093/bioinformatics/btw128
Published: 2016-03-07
Container: Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btw128,
  title = {Assessing statistical significance in multivariable genome wide association analysis},
  author = {Laura Buzdugan and Markus Kalisch and Arcadi Navarro and Daniel Schunk and Ernst Fehr and Peter Bühlmann},
  year = {2016},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btw128},
  url = {https://doi.org/10.1093/bioinformatics/btw128}
}

RIS

TY  - JOUR
TI  - Assessing statistical significance in multivariable genome wide association analysis
AU  - Laura Buzdugan
AU  - Markus Kalisch
AU  - Arcadi Navarro
AU  - Daniel Schunk
AU  - Ernst Fehr
AU  - Peter Bühlmann
PY  - 2016
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btw128
UR  - https://doi.org/10.1093/bioinformatics/btw128
ER  -

APA

Buzdugan, L., Kalisch, M., Navarro, A., Schunk, D., Fehr, E., & Bühlmann, P. (2016). Assessing statistical significance in multivariable genome wide association analysis. Bioinformatics. https://doi.org/10.1093/bioinformatics/btw128

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crossref · retrieved 2026-09-27T01:00:19.798Z