Joshua Scurll

Unsupervised learning by clustering is a key tool for analyzing single-cell biological data. StormGraph is a clustering algorithm that we have developed to analyze protein clustering in single cells imaged using super-resolution microscopy. I will...

With super-resolution microscopy techniques such as Direct Stochastic Optical Reconstruction Microscopy (dSTORM), it is possible to image fluorescently labeled proteins on a cell membrane with high precision. Often, the extent to which such proteins...

Identifying and visualizing meaningful clusters within high-dimensional (HD) data is an important but challenging problem with applications to molecular biology and biomedicine. For example, mass cytometry (CyTOF) is a high-throughput single-cell...