Lei Cao

Spatial Transcriptomics Reveal Developmental Dynamics of the Human Cerebral Cortex and Striatum

This study uses spatial transcriptomics and snRNA-seq to identify 25 forebrain regions and characterize dynamic changes in the human fetal cortex and striatum during late first and early second trimesters.

RepGene: Auditing Condition-Specific Fusion Biases for Multi-View Gene Representations

The paper evaluates multi-view gene representations under a matched contract, showing condition-dependent fusion operator rankings across different view combinations and tasks.

OmniCell: Unified Foundation Modeling of Single-Cell and Spatial Transcriptomics for Cellular and Molecular Insights

OmniCell integrates single-cell and spatial transcriptomics to model tissue context, revealing how gene programs operate in different anatomical environments.

BiOmics: A Foundational Agent for Grounded and Autonomous Multi-omics Interpretation

BiOmics introduces an AI agent that improves multi-omics interpretation by combining reasoning and embedding spaces, outperforming existing methods in variant discovery, cell annotation, and drug repurposing.

DynPerturb:Dynamic Perturbation Modeling for Spatiotemporal Single-Cell Systems

DynPerturb models spatiotemporal perturbation dynamics in single-cell and spatial transcriptomics, outperforming existing methods in regulatory link prediction and uncovering dynamic regulatory rewiring in biological systems.

UniCell: Towards a Unified Solution for Cell Annotation, Nomenclature Harmonization, Atlas Construction in Single-Cell Transcriptomics

UniCell improves cell type annotation and cross-dataset harmonization by combining Cell Ontology with transcriptomic data, outperforming existing tools in accuracy and rare cell detection.

ST-GEARS: Advancing 3D Downstream Research through Accurate Spatial Information Recovery

ST-GEARS improves spatial information recovery in 3D spatial transcriptomics by aligning sections and correcting distortions, enhancing accuracy for downstream analysis.

Resting state networks of awake adolescent and adult squirrel monkeys using ultra-high field (9.4T) functional magnetic resonance imaging

This study identifies resting state networks in awake adolescent and adult squirrel monkeys using fMRI, finding age-related differences in specific networks.

Increased regional P2X7R expression detected by GSK1482160 PET in a tauopathy mouse model

The paper uses PET imaging to detect increased P2X7R expression in a tauopathy mouse model, showing correlation with tau pathology.