Single Cell Data Integration Using Optimal Transport - 2023

Explore single-cell data integration techniques using optimal transport in this informative conference talk. Delve into the motivation behind multiomics studies and unsupervised algorithms for analyzing single-cell sequencing data. Learn about the SCOT (Single-cell multi-omics alignment with Optimal Transport) framework and its performance in benchmarking tests. Discover how this approach compares to other methods in cell mapping and feature mapping experiments. Gain insights into the latest advancements in computational genomics and their applications in integrating diverse single-cell datasets.

Introduction
About me
Motivation behind the project
Single cell sequencing
Multiohmic study
Coassay experiments
Multiomic studies
Unsupervised algorithms
Led by
Overview
Framework
Benchmark
Quantifying Performance
Unsupervised
Supervision
Alignment
Testing
Cell Mapping
Performance
Feature Mapping Comparison
Feature Mapping Experiment
Conclusion
Thanks