Hannah R. Dueck

The paper maps lineage and transcriptome relationships in C. elegans embryogenesis using single-cell transcriptomics, revealing lineage-transcriptome correlation breakdown in late divisions.

The paper introduces DESCEND, a method to deconvolve true gene expression distributions from noisy scRNA-seq data, improving estimates of dispersion and burstiness while adjusting for covariates.

SAVER improves gene expression estimates in scRNA-seq by imputing zeros and enhancing low/moderate expression genes, improving downstream analysis accuracy.

This paper compares single cell RNA sequencing and single molecule RNA FISH for rare cell analysis, finding that higher transcriptome complexity per cell improves accuracy for small gene sets.

PIVOT provides an R-based application with a graphical interface to simplify transcriptomics data analysis for non-programmers by integrating multiple tools and enabling interactive exploration.

This study evaluates the performance of three scRNA-seq methods through controlled experiments, finding they reliably detect genes above 5-10 molecules with linear measurement transfer functions.