Publicacións en colaboración con investigadores/as de Cardiff University (12)

2024

  1. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

    Nature Communications, Vol. 15, Núm. 1

  2. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches

    Journal of Extracellular Vesicles, Vol. 13, Núm. 2

2023

  1. A foundation model for generalizable disease detection from retinal images

    Nature, Vol. 622, Núm. 7981, pp. 156-163

  2. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries (Nature Genetics, (2023), 55, 1, (89-99), 10.1038/s41588-022-01222-9)

    Nature Genetics

  3. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

    Nature Genetics, Vol. 55, Núm. 1, pp. 89-99

2021

  1. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

    Autophagy, Vol. 17, Núm. 1, pp. 1-382

2019

  1. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

    Nature Communications, Vol. 10, Núm. 1

2017

  1. Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. Defining the optimal region of interest for hyperemia grading in the bulbar conjunctiva

    Computational and Mathematical Methods in Medicine, Vol. 2016

  2. Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

    Autophagy

  3. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Autophagy, Vol. 12, Núm. 1, pp. 1-222

2001

  1. Adequacy targets can be met in anuric patients by automated peritoneal dialysis: Baseline data from eapos

    Peritoneal Dialysis International, Vol. 21, Núm. SUPPL. 3