Clustering pipeline used to develop an unsupervised gene clustering framework supported by visual analytics. The data will be publicly made available and visualized in the [Human Protein Atlas].

Example of a visual analytics tool, called [t-viSNE], for the visual exploration of t-SNE projections that enables analysts to inspect different aspects of their accuracy and meaning. Similar approaches will be developed in the project to provide interpretable and interactive clustering, fine-grained quality analysis of the clustering, as well as better cluster annotation by using visual analytics.

Last updated: 2022-03-01

Content Responsible: Johan Inganni(