MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.

Krätschmer I, Smith HM, McCartney DL, Bernabeu E, Mahmoudi M, Campbell A, Corley J, Harris SE, Cox SR, Marioni RE, Robinson MR

Open source

DOI: 10.1093/bioadv/vbag231
Published: 2026
Container: Bioinformatics advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag231,
  title = {MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.},
  author = {Krätschmer I and Smith HM and McCartney DL and Bernabeu E and Mahmoudi M and Campbell A and Corley J and Harris SE and Cox SR and Marioni RE and Robinson MR},
  year = {2026},
  journal = {Bioinformatics advances},
  doi = {10.1093/bioadv/vbag231},
  url = {https://doi.org/10.1093/bioadv/vbag231}
}

RIS

TY  - JOUR
TI  - MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.
AU  - Krätschmer I
AU  - Smith HM
AU  - McCartney DL
AU  - Bernabeu E
AU  - Mahmoudi M
AU  - Campbell A
AU  - Corley J
AU  - Harris SE
AU  - Cox SR
AU  - Marioni RE
AU  - Robinson MR
PY  - 2026
JO  - Bioinformatics advances
DO  - 10.1093/bioadv/vbag231
UR  - https://doi.org/10.1093/bioadv/vbag231
ER  -

APA

I, K., HM, S., DL, M., E, B., M, M., A, C., J, C., SE, H., SR, C., RE, M., & MR, R. (2026). MAJA: multivariate Bayesian model for discovery of shared epigenetic pathways across human phenotypes.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbag231

Source records

pubmed · retrieved 2026-09-25T13:48:46.132Z