Welcome to the Setty Lab. We are a multi-disciplinary research group investigating the mechanisms of lineage decisions and cell-fate choices, and the dysregulation of these mechanisms in cancer. We approach this fundamental problem by analysis and modeling of high-throughput single-cell genomics data, with a strong focus on developing novel algorithms using a broad array of computational techniques. We strongly believe in collaborative science and work in close conjunction with our collaborators in all aspects spanning experimental design of data collection, data analysis and modeling, and validation experiments.
Our lab is affiliated with the Basic Sciences Division, the Computational Biology Program, and the Translational Data Science Integrated Research Center. We are located at the historic Steam Plant building with sweeping views of Lake Union.
We are recruiting! Click here to learn more.
Quantifying Cell-State Densities in Single-Cell Phenotypic Landscapes using Mellon.
Otto D, Jordan C, Dury B, Dien C, Setty M. Nature Methods 2024
SEACells infers transcriptional and epigenomic cellular states from single-cell genomics data.
Persad S, Choo Z-N, Dien C, Sohail N, Masilionis I, Chaligne R, Nawy T, Brown CC, Sharma R, Pe’er I, Setty M+ Pe’er D. Nature Biotechnology 2023.
Janssens D, Otto D, Meers M, Setty M, Ahmad K, Henikoff S. Genome Biology 2022
Characterization of Cell Fate Probabilities in Single-Cell Data With Palantir
Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe’er D. Nature Biotechnology 2019