Replication data for "Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images"

Iáñez Picazo, Pablo, Mejia-Ramirez, EVA, Di Bari, Dario, Vitali, Elena, Florian, M. Carolina, Petrone, Paula

Open source

DOI
10.34810/data2372
Published
2026
Container
Not recorded
Publisher
CORA.Repositori de Dades de Recerca
Open access
yes

Credibility signals

limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.34810/data2372,
  title = {Replication data for "Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images"},
  author = {Iáñez Picazo, Pablo and Mejia-Ramirez, EVA and Di Bari, Dario and Vitali, Elena and Florian, M. Carolina and Petrone, Paula},
  year = {2026},
  doi = {10.34810/data2372},
  url = {https://doi.org/10.34810/data2372}
}

RIS

TY  - JOUR
TI  - Replication data for "Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images"
AU  - Iáñez Picazo, Pablo
AU  - Mejia-Ramirez, EVA
AU  - Di Bari, Dario
AU  - Vitali, Elena
AU  - Florian, M. Carolina
AU  - Petrone, Paula
PY  - 2026
DO  - 10.34810/data2372
UR  - https://doi.org/10.34810/data2372
ER  - 

APA

Pablo, I. P., EVA, M., Dario, D. B., Elena, V., Carolina, F. M., & Paula, P. (2026). Replication data for "Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images". https://doi.org/10.34810/data2372

Source records