Vrushali Pandit

The paper uses single-cell overexpression screens to study how combinations of transcription factors drive gene regulatory networks and cell-type specific gene expression programs.

This study benchmarks and optimizes Perturb-seq in human pluripotent stem cells, identifying shared regulatory networks during cardiomyocyte differentiation.

SpatialPrompt improves spot deconvolution and domain identification in spatial transcriptomics by integrating spatial coordinates and scRNA-seq data, showing scalability and accuracy across multiple datasets.

The paper benchmarks DR and clustering methods on scRNA-seq datasets, finding dataset-dependent performance and no single best method.