11 Works
Additional file 1 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 1: Figure S1. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and use of invasive mechanical ventilation during the hospitalization (3A–C) and ischemic heart disease in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 2 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 2: Figure S2. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and and stroke in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 16 of High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata
Jules S. Freeman, Gancho T. Slavov, Jakob B. Butler, Tancred Frickey, Natalie J. Graham, Jaroslav Klápště, John Lee, Emily J. Telfer, Phillip Wilcox & Heidi S. Dungey
Additional file 16: Fig. S2. Synteny and collinearity between linkage groups 8 and 10 amongst the Pinus radiata parental linkage maps in this study. Vertical bars represent linkage groups, horizontal lines within bars show the position of markers within each group, lines between groups indicate homologous markers at the contig level. Scale bars shows cM (Kosambi). Fig. S1A shows perfect synteny and high collinearity between these linkage groups in three parental linkage maps. Fig. S2B...
AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation
András Vekassy, Aspen Fenzl, Erhan Gulsen, Hewan Zewdu, Jamie Longio, Maximilian Hoffman, Rhyan Barrett, Rubaiyat Khondaker, Anna Catton, Hongyang Dong, Kevin Calvache, Kaylee Patel, King Wong, Louis Greenhalgh, Rebecca Jane Clements, Thomas Allam, Sarah Scripps, Gavin Man, Samuel Munday, Michael Blakey, Graeme M. Day, Chris-Kriton Skylaris, Simon J. Coles, Stephen Gow & William Brocklesby
This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD...
Additional file 3 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 3: Figure S3. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and peripheral artery disease in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 18 of High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata
Jules S. Freeman, Gancho T. Slavov, Jakob B. Butler, Tancred Frickey, Natalie J. Graham, Jaroslav Klápště, John Lee, Emily J. Telfer, Phillip Wilcox & Heidi S. Dungey
Additional file 18: Fig. S3. Genomic predictive ability for diameter at breast height (DBH) and wood density (WD) as a function of training population size (A) and number of markers (B) used in random cross-validations of 81 Pinus radiata genotypes from the FWK population. Error bars correspond to standard deviations across 100 random cross-validations for each set of parameters. Analyses in (A) were based on all markers (M = 9353). The training population size in...
Additional file 1 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 1: Figure S1. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and use of invasive mechanical ventilation during the hospitalization (3A–C) and ischemic heart disease in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 2 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 2: Figure S2. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and and stroke in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 3 of The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19)
Gemma Llauradó, Bogdan Vlacho, Matthieu Wargny, Yue Ruan, Josep Franch-Nadal, Pere Domingo, Pierre Gourdy, Pierre-Jean Saulnier, Samy Hadjadj, Sarah H. Wild, Rustam Rea, Bertrand Cariou, Kamlesh Khunti & Dídac Mauricio
Additional file 3: Figure S3. Odds ratio for the association between mortality (1A–C), intensive care unit admission (2A–C) and peripheral artery disease in each of the four cohorts and overall. I2 indicates heterogeneity in the estimates. Odds ratio estimates adjusted for: model 1: age and sex (B); model 2: model 1 + type of diabetes, arterial hypertension, and the presence of microvascular disease (C).
Additional file 16 of High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata
Jules S. Freeman, Gancho T. Slavov, Jakob B. Butler, Tancred Frickey, Natalie J. Graham, Jaroslav Klápště, John Lee, Emily J. Telfer, Phillip Wilcox & Heidi S. Dungey
Additional file 16: Fig. S2. Synteny and collinearity between linkage groups 8 and 10 amongst the Pinus radiata parental linkage maps in this study. Vertical bars represent linkage groups, horizontal lines within bars show the position of markers within each group, lines between groups indicate homologous markers at the contig level. Scale bars shows cM (Kosambi). Fig. S1A shows perfect synteny and high collinearity between these linkage groups in three parental linkage maps. Fig. S2B...
Additional file 18 of High density linkage maps, genetic architecture, and genomic prediction of growth and wood properties in Pinus radiata
Jules S. Freeman, Gancho T. Slavov, Jakob B. Butler, Tancred Frickey, Natalie J. Graham, Jaroslav Klápště, John Lee, Emily J. Telfer, Phillip Wilcox & Heidi S. Dungey
Additional file 18: Fig. S3. Genomic predictive ability for diameter at breast height (DBH) and wood density (WD) as a function of training population size (A) and number of markers (B) used in random cross-validations of 81 Pinus radiata genotypes from the FWK population. Error bars correspond to standard deviations across 100 random cross-validations for each set of parameters. Analyses in (A) were based on all markers (M = 9353). The training population size in...
Affiliations
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University of Edinburgh11
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University of Vic6
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NIHR Oxford Musculoskeletal Biomedical Research Centre6
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Instituto de Salud Carlos III6
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Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas6
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National Institute for Health Research6
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Centre Hospitalier Universitaire de Poitiers6
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University Hospitals of Leicester NHS Trust6
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Inserm6
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Leicester General Hospital6