Event Details

DSI Wednesday Lunch Time Talk @ 12.30

Title: Fast and curious: Efficient exploratory visualization of cross-domain interaction networks

Abstract: Exploratory visualization of biological data sets have many application areas. For example, visualizing single-cell RNA sequencing data sets in two-dimensional plots using t-Distributed Stochastic Neighbor Embedding (t-SNE) or Uniform Manifold Approximation and Projection (UMAP) algorithms have become standard approaches to identify cell subpopulations. However, these approaches were not extended towards modelling cross-domain interaction networks, which contain interactions between two types of objects such as drug-target or drug-disease pairs. We developed a computational framework to extend these dimensionality reduction algorithms to be able to map cross-domain interaction networks into low-dimensional subspaces by preserving both within-domain similarities and cross-domain interactions. We extensively tested our proposed framework, named Fast & Curious (FC), on five different drug-target and three different drug-disease interaction networks. We evaluated the visualization and retrieval performance of our algorithm by embedding these eight interaction networks into two-dimensional subspaces.

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