Oscar A. Davalos

Transcriptional divergence of the zebrafish sox17 lineage begins during gastrulation

The paper uses single-cell transcriptomics to study the zebrafish sox17 lineage during gastrulation, revealing transcriptional changes in endoderm and dorsal forerunner cells.

Early immune response to Coccidioides is characterized by robust neutrophil and fibrotic macrophage recruitment and differentiation

The paper investigates the early immune response to Coccidioides in mice, identifying PD-L1+ neutrophils and Spp1+ macrophages as key players in inflammation and fibrosis.

Spatiotemporal Analysis of Lung Immune Dynamics in Lethal Coccidioides posadasii Infection

This study uses single-cell RNA sequencing and spatial transcriptomics to analyze lung immune responses during lethal Coccidioides infection, identifying macrophages and neutrophils involved in fibrosis and immune dysregulation.

Boosting Single-Cell RNA Sequencing Analysis with Simple Neural Attention

scANNA is an interpretable deep learning model for scRNA-seq that uses neural attention to learn gene associations, enabling downstream analyses without retraining.

N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification

N-ACT is an interpretable deep learning model for automatic cell type identification that detects salient genes, outperforming conventional methods in accuracy and scalability.

ACTIVA: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders

ACTIVA generates realistic synthetic scRNA-seq data with cell-type identification, improving classifier performance and reducing training time compared to existing methods.