Name: Transcriptomics series: Single-cell analysis with Seurat
Start: 2025-06-24T17:00:00-06:00
End: 2025-06-24T18:30:00-06:00

Join us for a hands-on workshop introducing single-cell RNA-seq analysis using the [Seurat package in R](https://satijalab.org/seurat/). This session is part of our ongoing Transcriptomics Series and is designed for beginners and intermediate users interested in learning how to explore, visualize, and interpret single-cell data. No prior experience with Seurat required!

Sponsor: [Lozupone Lab](https://www.lozuponelab.com/), CU Department of Biomedical Informatics

Aishwarya Mandava

Kewalin Samart

Abhirupa Ghosh

Stacey Collister

Jade Young

R-Ladies Aurora

R-Ladies

Technology

Open Source

New Technology

Big Data

Machine Learning

Data Analytics

Data Visualization

Technology Startups

Data Science

Statistical Computing

R Project for Statistical Computing

Dr. Davidson is an Assistant Professor in the Division of Reproductive Sciences, Department of Obstetrics and Gynecology at CU Anschutz. 

Research interest: Ovarian cancer is a heterogeneous disease with several histologically and molecularly defined subtypes. In addition to the subtype heterogeneity, there is variability within the tumor microenvironment and across different populations. My lab utilizes cutting-edge machine learning techniques to disentangle the molecular and clinical features of ovarian cancer and to identify drivers of tumor progression and treatment response.

Natalie Davidson, PhD

Transcriptomics series: Single-cell analysis with Seurat

P12-1203 | (first floor) Anschutz Health Sciences Building (ASHB)

Share this event

Transcriptomics series: Single-cell analysis with Seurat

Details