Scott Van Buren

Compression of quantification uncertainty for scRNA-seq counts

The paper introduces a method to compress quantification uncertainty in scRNA-seq data by storing mean and variance instead of full inferential replicates, improving computational efficiency without loss of performance.

Differential Transcript Usage Analysis Incorporating Quantification Uncertainty Via Compositional Measurement Error Regression Modeling

The paper introduces CompDTU, a method for differential transcript usage analysis that addresses scalability and quantification uncertainty, improving sensitivity and reducing false positives.