Single-cell omics assays have become essential tools for identifying and characterizing cell types and states of complex tissues. While each single-modality assay reveals distinctive features about the sequenced cells, true multiomics assays are still in the early stage of development.
This underscores the importance of computationally integrating single-cell omics data from studies conducted on various samples across various modalities. In addition, the advent of multiplexed molecular imaging assays has given rise to a need for computational methods for integrative analysis of single-cell imaging and omics data.
In this webinar, Kai Tan of the Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania will discuss GLUER (Integrative Analysis of Multiomics at Single-Cell Resolution), a flexible tool for integration of single-cell multi-omics data and imaging data.
In this talk attendees will:
- Learn about a general computational framework (GLUER) for integrating single-cell omics and imaging data
- Hear strategies to evaluate performance of data integration methods
- See the utility of integration methods for understanding cell-cell communication
About the Series: Spatial Multiomics: Analysis Strategies for Enriching Single-Cell Phenotyping Data
In this multi-part webinar series, our expert speakers will review analytical frameworks and algorithms to integrate imaging-based single-cell spatial phenotyping data with complementary transcriptomic and genomic datasets.
High-plex cell phenotyping methods like single-cell RNA-seq capture the deep cellular heterogeneity of samples, but cell behavior is a function of all that surrounds it. Imaging-based spatial phenotyping platforms enable researchers to visualize and analyze cell diversity, interactive networks, and cellular behavior within the spatial context of whole tissue sections. Both types of data have complementary features, which give researchers the ability to merge information about a cell’s proteome and transcriptome with its single-cell, spatial context.
This webinar series will highlight the latest advances driving integrative multiomics analysis.