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 investigates CD9 expression in human hematopoietic stem and progenitor cells (HSPCs) over time, finding that CD9 marks progenitors with high proliferation capacity and is upregulated during myeloid/MegE-biased hematopoiesis.

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.