Ryan T. Koehler

The paper creates a Human Cytokine Dictionary using single-cell transcriptomes of PBMCs stimulated with cytokines, revealing cell-type-specific responses and communication networks.

This paper develops a machine learning framework for early HCC detection using bisulfite sequencing data, showing high accuracy across multiple assay platforms and sample types.

A 100-million-cell atlas: 50 cancer lines pooled as spheroid villages, treated with 379 drugs at several doses, profiled by combinatorial-barcoding scRNA-seq and embedded with a 10-dimensional scVI model.

This paper introduces an improved combinatorial barcoding method for scRNA-seq that significantly increases sensitivity, detecting more transcripts and genes per cell across various sample types.

This paper introduces a targeted sequencing method for low-quality DNA that reduces PCR bias and improves variant detection in clinical samples.