Parashar Dhapola

CyteType improves cell type annotation in single-cell transcriptomics by combining multi-agent reasoning with external validation, achieving higher accuracy than existing methods.

The paper uses scRNA-Seq and computational methods to predict and validate differentiation trajectories during early mammalian organogenesis, showing agreement between computational predictions and experimental outcomes.

The paper presents a single-cell map of first trimester human fetal liver hematopoiesis, identifying molecular and immunophenotypic differences from adult cells and linking findings to pediatric leukemia.

Scarf provides a memory-efficient toolkit for analyzing large-scale single-cell genomics data on standard hardware.

A genome-wide association study identifies DNA variants influencing HSPC levels in human blood, with PPM1H as a novel regulator affecting stem cell subpopulations.

CellexalVR provides a virtual reality platform for visualizing and analyzing single-cell data, enabling intuitive and collaborative exploration of complex datasets.

Nabo maps cells from one population to the most similar cells in a reference population, improving accuracy in identifying tumor-initiating cells in single-cell RNA-Seq data.

This study establishes iPSC-derived neuronal cell lines for SCA12, identifies interferon signaling and inflammatory signatures as key transcriptomic features.