Dr. Nicolas Fernandez will demonstrate the latest version of Clustergrammer2, a visualization tool that allows users to perform more refined clustering on cell lines and genes.

Dr. James Zou will present new computer vision algorithms and describe how these can help identify the morphologies and phenotypes associated with complex diseases, such as cancer. He will also discuss the general principles behind this technology as well as current machine learning tools, such as Ghorbani, NeurIPS 2020, Abid, and Nature MI 2020.

In this talk, Dr. Gabor Marth will present the Functional Precision Oncology Initiative, which combines model-based drug screening with multi-omic and subclonal analyses of the tumor to predict the extent of the response.

Dr. Pagel will present OpenCRAVAT, a new open source, scalable decision support system for studying gene variants and gene prioritization.

In this talk, Dr. Griffin and Dr. Jagtap will present short demonstrations of multi-omic tools and validated workflows and discuss application and access to these resources.