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QCBio Research Seminar: Dongyuan Song (Li JJ), Graduate Student in Bioinformatics

January 12 @ 12:30 pm - 1:00 pm

TITLE: “scDesign3: an all-in-one statistical framework that generates realistic single-cell omics data and infers cell heterogeneity structure.”

ABSTRACT: The generation of realistic synthetic data is essential for benchmarking numerous computation tools developed for single-cell omics data. Here we propose an all-in-one statistical framework that generates single-cell omics data from various cell heterogeneity structures, including discrete cell types, continuous cell trajectories, and spatial cell locations. Our framework uses a unified probabilistic model with accessible likelihood. This probabilistic formulation is advantageous in that it enables a straightforward discernment of the heterogeneity structure that best fits a single-cell omics dataset, by leveraging the statistical model selection principle.

 

Details

Date:
January 12
Time:
12:30 pm - 1:00 pm
Event Category:

Venue

ZOOM
CA United States
Website:
ucla.zoom.us

Organizer

QCBio

Details

Date:
January 12
Time:
12:30 pm - 1:00 pm
Event Category:

Venue

ZOOM
CA United States
Website:
ucla.zoom.us

Organizer

QCBio