Abstract
I will discuss several computational challenges that must be addressed in order to learn biophysically meaningful representations of cells from large-scale single-cell ‘omics’ data. I will discuss some progress we have made in attempting to address the challenges by way of developing a commons cell atlas framework for large-scale (isoform) resolved single-cell analysis, and explain how analysis of large-scale data can inform biophysical models of cells.