decoupleR: ensemble of computational methods to infer biological activities from omics data.

Badia-I-Mompel P, Vélez Santiago J, Braunger J, Geiss C, Dimitrov D, Müller-Dott S, Taus P, Dugourd A, Holland CH, Ramirez Flores RO, Saez-Rodriguez J

Open source

DOI: 10.1093/bioadv/vbac016
Published: 2022
Container: Bioinformatics advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbac016,
  title = {decoupleR: ensemble of computational methods to infer biological activities from omics data.},
  author = {Badia-I-Mompel P and Vélez Santiago J and Braunger J and Geiss C and Dimitrov D and Müller-Dott S and Taus P and Dugourd A and Holland CH and Ramirez Flores RO and Saez-Rodriguez J},
  year = {2022},
  journal = {Bioinformatics advances},
  doi = {10.1093/bioadv/vbac016},
  url = {https://doi.org/10.1093/bioadv/vbac016}
}

RIS

TY  - JOUR
TI  - decoupleR: ensemble of computational methods to infer biological activities from omics data.
AU  - Badia-I-Mompel P
AU  - Vélez Santiago J
AU  - Braunger J
AU  - Geiss C
AU  - Dimitrov D
AU  - Müller-Dott S
AU  - Taus P
AU  - Dugourd A
AU  - Holland CH
AU  - Ramirez Flores RO
AU  - Saez-Rodriguez J
PY  - 2022
JO  - Bioinformatics advances
DO  - 10.1093/bioadv/vbac016
UR  - https://doi.org/10.1093/bioadv/vbac016
ER  -

APA

P, B., J, V. S., J, B., C, G., D, D., S, M., P, T., A, D., CH, H., RO, R. F., & J, S. (2022). decoupleR: ensemble of computational methods to infer biological activities from omics data.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbac016

Source records

pubmed · retrieved 2026-09-25T01:40:39.997Z