Son Truong Pham

Single-Cell Atlas of CD4+ T-Helper 2 Cells Reveals Distinct Cytokine Functions Across Diseases

This study creates a comprehensive CD4+ Th2 single-cell atlas across diseases and tissues, revealing distinct cytokine functions and potential therapeutic strategies for allergic and inflammatory conditions.

Benchmarking AlphaSC: A Leap in Single-Cell Data Processing

The paper benchmarks AlphaSC, a GPU-accelerated single-cell analytics package, showing it is much faster and more memory-efficient than Seurat, Scanpy, and RAPIDS without sacrificing quality.

IC-VAE: A Novel Deep Learning Framework for Interpreting Multiplexed Tissue Imaging Data.

The paper introduces IC-VAE, a deep learning framework that improves the analysis of multiplexed tissue imaging data by controlling shared information among latent subspaces, leading to better downstream analysis.

An Entropy Approach for Choosing Gene Expression Cutoff

The paper introduces an entropy-based method to determine gene expression cutoffs for cell type annotation in single-cell transcriptome data.

BBrowser: Making single-cell data easily accessible

A downloadable application pairs a curated single-cell database with a big-data analytics layer and a visualisation module for exploring single-cell omics data.