Abstract: This disclosure relates to generating interactive graphical visualisations of clinical and genetic data. A processor receives the clinical data indicative of observed phenotypes, accesses a database to determine associations of the observed phenotypes with disorders and accesses a second database to determine associations between the disorders and genetic properties. The processor then determines an association value for each combination of the observed phenotypes and the genetic properties based on a number of paths between them. The processor also generates a graphical user interface, comprising an arrangement of the association values and a user control element associated with the phenotypes and/or the genetic properties. Finally, upon detecting user interaction in relation to the user control element, the processor re-arranges the arrangement of the association values in the graphical user interface to reflect the detected user interaction.

Abstract: This disclosure relates to generating interactive graphical visualisations of clinical and data. A processor calculates phenotype-to-phenotype similarity value indicative of a similarity between observed phenotypes and each phenotype in a set of stored phenotypes based on an ontology of phenotypes. The processor then determines an assignment of stored phenotypes to observed phenotypes based on the similarity values and further aggregates the similarity values into a set-to-set similarity value indicative of a similarity between the observed phenotypes and the set of stored phenotypes. The processor then repeats these steps to calculate a set-to-set similarity measure for each of the multiple sets. Finally, the processor selects one or more of the multiple sets based on the set-to-set similarity value and generates a graphical user interface comprising a graphical indication of the selected one or more of the multiple sets in relation to the multiple observed phenotypes.

Abstract: This disclosure relates to generating interactive graphical visualisations of clinical and genetic data. A processor receives the clinical data indicative of observed phenotypes, accesses a database to determine associations of the observed phenotypes with disorders and accesses a second database to determine associations between the disorders and genetic properties. The processor then determines an association value for each combination of the observed phenotypes and the genetic properties based on a number of paths between them. The processor also generates a graphical user interface, comprising an arrangement of the association values and a user control element associated with the phenotypes and/or the genetic properties. Finally, upon detecting user interaction in relation to the user control element, the processor re-arranges the arrangement of the association values in the graphical user interface to reflect the detected user interaction.