León
Universitat
Monash University
Melbourne, AustraliaPublicacions en col·laboració amb investigadors/es de Monash University (16)
2024
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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
2023
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A second update on mapping the human genetic architecture of COVID-19
Nature
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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
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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
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Genetically predicted circulating concentrations of micronutrients and risk of colorectal cancer among individuals of European descent: A Mendelian randomization study
American Journal of Clinical Nutrition, Vol. 113, Núm. 6, pp. 1490-1502
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1
Autophagy, Vol. 17, Núm. 1, pp. 1-382
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Response to Li and Hopper
American Journal of Human Genetics
2020
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Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
BMC Medicine, Vol. 18, Núm. 1
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Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses
Gastroenterology, Vol. 158, Núm. 5, pp. 1300-1312.e20
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Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk
American Journal of Human Genetics, Vol. 107, Núm. 3, pp. 432-444
2019
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Molecular evolution of the switch for progesterone and spironolactone from mineralocorticoid receptor agonist to antagonist
Proceedings of the National Academy of Sciences of the United States of America, Vol. 116, Núm. 37, pp. 18578-18583
2016
2009
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Visualizing high dimensional classifier performance data
Studies in Computational Intelligence, Vol. 223, pp. 105-129
2008
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A visualization-based exploratory technique for classifier comparison with respect to multiple metrics and multiple domains
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Visualizing classifier performance on different domains
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI