"Probabilistic Machine Learning" - a book series by Kevin Murphy

Practical Full-Stack Machine Learning

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

Spatial alignment of single cell transcriptomic data.

Benchmarking computational single cell ATAC-seq methods

This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

Work with trained factor models in Python