Tin Nguyen

This study uses snRNA-seq to analyze RAS gene expression in PVN cell types under hypertension and obesity, revealing cell-type-specific changes in RAS signaling.

CytoAnalyst provides a web-based platform for single-cell RNA sequencing analysis with customizable pipelines, parallel processing, real-time collaboration, and advanced visualization tools.

The paper evaluates and optimizes sequence-based gene regulatory deep learning models using a DREAM Challenge dataset, showing improvements through architectural and training strategy refinements.

The paper identifies genomic associations with ex vivo DNA damage responses to ionizing radiation in mice, highlighting pathway differences across radiation types and timing.

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

This paper introduces a hierarchical autoencoder for scRNA-seq analysis, showing improved performance in cell segregation, visualization, classification, and pseudo-time inference compared to existing methods.

The paper predicts cellular positions in the Drosophila embryo using scRNA-seq data by benchmarking methods against spatially annotated genes.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.