Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...

Note from Dec 2022: The code here work beautifully and I plan to continue making minor bug fixes maintaining the current functionality. But I no longer will be making any improvements to this project.

"Reading Data" is a series on Python and machine learning for clinicians and medical researchers. We start by acquiring programming skills to build the ability to "read and interpret" your own data.