Evan Biederstedt

This paper introduces scITD, a method to identify multicellular gene expression patterns that distinguish disease individuals, showing its application in SLE and COVID-19 datasets.

This paper introduces gpsFISH, a method for selecting gene panels in spatial transcriptomics that outperforms existing methods by accounting for platform effects and incorporating cell type hierarchies.

This paper introduces scTab, a deep learning model for cross-tissue cell type annotation in single-cell RNA-seq, showing improved performance over linear models and demonstrating scalability with larger datasets.

This paper introduces Numbat, a method that uses haplotype information to improve detection of copy number variations from scRNA-seq data, revealing subclonal complexity in cancer.