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Nonparametric Manifold Learning for Imputation and Alignment in Single-Cell RNA-sequencing Data


Focus Manifolds

Project Goal

To develop a generative model of single-cell RNA-seq data that allows normalization, imputation, and batch correction for the purpose of identifying QTLs across many individuals.


Results & Resources

Work in progress. Results coming soon!


Investigators

Lead Investigator

Barbara Engelhardt
Barbara Engelhardt