Resources
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Covid-19
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Covid-19
This assay bundles all synthetic FHIR data of the PhenoMan evaluation. The data arised from a subset of a Synthea(TM) generated data set. We truncated some resource types like Encounter and Provider to reduce the size of the data set and to speed up the import in a FHIR health data store.
Submitter: Christoph Beger
Resource type: Result Dataset of Clinical Study
Technology type: Technology Type
Investigation: Ontology-based Phenotyping
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Investigation: Ontology-based Phenotyping
We modelled the algorithm for determining Type 2 Diabetes Mellitus (T2DM) cases presented by PheKB.org using Phenotype Manager (PhenoMan).
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Investigation: Ontology-based Phenotyping
We are releasing the summary data from our meta-analyses of steroid hormones, to empower other researchers to examine variants or loci in which they are interested for association with these hormonal traits. These data are intended for research purposes only.
Citation: Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883
When using this data acknowledge ...
Submitter: Janne Pott
Resource type: Genome Wide Association
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAS Steroid Hormones
