Comet Calendar

Statistics Seminar by Peifeng Ruan (UTSW)

Friday, May 5 at 11:00am to 12:00pm

Sciences Building (SCI), 2.210
800 W. Campbell Road, Richardson, Texas 75080-3021

A multi-use graph neural network framework for single-cell multi-omics data

The advances of single-cell multi-omics profiling technologies in biomedical research offer an unprecedent opportunity for understanding cell heterogeneity and subpopulations. There are many statistical and computational challenges in the integrative analyses of these rich data, including sequencing sparsity, complex differential patterns in gene expression, and different platforms and panels used to generate multiple single-cell multi-omics. In this presentation, we introduce a multi-use graph neural network framework that can effectively impute and predict missing sequencing panels, integrate multi-omics single-cell datasets, and formulate and aggregate cell–cell relationships with graph neural networks. Comprehensive simulations and applications on multiple single multi-omics datasets demonstrate that our proposed method is a powerful tool for general single-cell data multi-omics analyses that outperforms the existing methods for protein prediction, gene imputation and cell clustering.

UTD strives to create inclusive and accessible events in accordance with the Americans with Disabilities Act (ADA). If you require an accommodation to fully participate in this event, please contact the event coordinator (listed below) at least 10 business days prior to the event. If you have any additional questions, please email and the AccessAbility Resource Center at

Event Type

Lectures & Workshops

Target Audience

Undergraduate Students, Faculty & Staff, Graduate Students




math, statistics, data science, stat.spring2023


Natural Sciences & Mathematics
Contact Information
Chuan-Fa Tang
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