Anders W. Rasmussen

This study introduces STAG-seq, a method combining transcriptomics and genotyping to functionally analyze genetic variants in immune cells, revealing their impact on gene expression and disease mechanisms.

scDiffEq models single-cell dynamics using neural stochastic differential equations, improving trajectory reconstruction and fate prediction in hematopoiesis.

CRISPR-Decryptr analyzes noncoding CRISPR screens to infer regulatory elements by accounting for experimental design and validating on published data.

The paper introduces ChromA, a Bayesian method for analyzing ATAC-seq data to annotate chromatin accessibility, improving cell type identification and correcting biases in single-cell data.