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Image analysis and AI in microscopy-based life science research


Biological processes can be observed both in space and over time using imaging. Visual assessment becomes limiting as datasets grow, and complexity of data as well as subtleness of processes makes it difficult to draw confident conclusions without automated and quantitative measurement strategies. Traditionally, digital image processing has relied on engineering mathematical models of e.g. […]

“The Connections Between Enhancer Architecture and Function”


To carry out an enormous diversity of tasks, proteins can assume a variety of structures or disordered states, and years of work have made the connection between protein sequences, structures, and functions. Enhancers and other pieces of regulatory DNA regulate gene expression in highly disparate biological processes, but we still lack general principles that can […]

Transport Transforms for Data Analysis and Machine Learning


Based on optimal transport theory, transport transforms are non-linear transforms that are well suited for many applications in data analysis, classification, and processing. In many situations, ranging from machine learning and signal processing, transport-based algorithms have outperformed state-of-the-art methods. In this talk, we will describe the Cumulative Distribution Transform (CDT), the Radon-CDT, and some of […]