Eduardo A. Torre

The paper introduces MemorySeq, a method to identify gene expression fluctuations persisting across cell divisions, revealing non-genetic, heritable cellular behaviors in cancer cell lines.

The paper identifies rare cell states in melanoma that contribute to drug resistance by analyzing single-cell gene expression and signaling dynamics.

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.