Welcome to the Zhang Lab
Single-Cell Data-Driven Computational Omics and Systems Immunology (COSI)
We develop computational machine learning methods for single-cell omics to study inflammatory disease for translational medicine in the Department of Medicine Division of Rheumatology and Department of Biomedical Informatics Center for Health Artificial Intelligence, the University of Colorado Anschutz Medical Campus.
Recent lab news
🎤 2024 Nov - Congrats Jade on giving a platform talk at ASHG conference 🎉
💰 2024 June - Congrats Jun to receive the CCTSI CO-Pilot Mentored award 🎉
📚 2024 May - Congrats Nanxi et al on our software paper STew (Spatial Transcriptomics multi-viEW) published at Bioinformatics Advances!
👏🏻 2024 April - Congrats, Fan, on her “Rising Stars” award from DOM at CU!
📚 2023 Nov - Our recent work “Zhang*, Jonsson*, et al” is out at Nature! Check the the School of Medicine News! Featured at the NIH NIAMS News 🎉
Our Science
🖥 We develop advanced statistical machine learning methods enabling reproducible computational science for single-cell omics
Guo, et al, Bioinformatics Advances, 2024 [Code]
Fan, Slowikowski, Zhang, Nature EMM, 2020
Zhang, et al., BMC Bioinformatics, 2017 [Code]
⭐️ We dedicate to the field of single-cell multi-omics data modeling and analysis using computational AI methods for both primary and publicly available datasets.
🧬 We decipher pathogenic cells and molecular mechanisms for immune-mediated diseases
Zhang*, Wei*, Slowikowski*, Fonseka*, Rao*, et al, Nature Immunology, 2019 [Code]
⭐️ We have long-term interests in defining connections between tissue pathology and blood markers to link tissue-level heterogeneity to clinical subphenotypes.
💊 We integrate cross-disease cross-tissue cross-cohort data to uncover shared and unique phenotypes for translational medicine
Zhang*, Jonsson*, et al, Nature, 2023 [Data Browser]
Jonsson*, Zhang*, et al, Science Translational Medicine, 2022 [Code]
Zhang, et al. Genome Medicine, 2021 [Code | Single-cell reference download]
⭐️ We are particularly interested in myeloid, T-cell, and stromal cell heterogeneity and their interactions in inflammatory environments.
