| human | Q5 |
| P227 | GND ID | 1217455019 |
| P856 | official website | https://curis.ku.dk/portal/en/persons/helle-krogh-pedersen(3dbc2322-61e1-4c32-95d8-3048fcba6ef9).html |
| P496 | ORCID iD | 0000-0001-9609-7377 |
| P1153 | Scopus author ID | 55822965772 |
| P214 | VIAF ID | 7339160001847830300004 |
| P108 | employer | University of Copenhagen | Q186285 |
| University Hospitals Birmingham NHS Foundation Trust | Q7894775 | ||
| P734 | family name | Pedersen | Q23751947 |
| Pedersen | Q23751947 | ||
| Pedersen | Q23751947 | ||
| P735 | given name | Helle | Q18760748 |
| Helle | Q18760748 | ||
| P106 | occupation | researcher | Q1650915 |
| P21 | sex or gender | female | Q6581072 |
| Q58052580 | A computational framework to integrate high-throughput ‘-omics’ datasets for the identification of potential mechanistic links |
| Q35860108 | Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota |
| Q34534015 | Human gut microbes impact host serum metabolome and insulin sensitivity |
| Q47238942 | Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study |
| Q47944286 | Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study. |
| Q38803129 | Pancreatic Islet Protein Complexes and Their Dysregulation in Type 2 Diabetes |
| Q28274686 | Pharmacogenomics in diabetes mellitus: insights into drug action and drug discovery |
| Q96589839 | Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts |
| Q47105166 | Ranking factors involved in diabetes remission after bariatric surgery using machine-learning integrating clinical and genomic biomarkers |
Search more.