Guoqiang Yu

Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals

AQuA2 quantifies molecular spatiotemporal signals from live imaging data by decomposing complex datasets into signaling events, demonstrating applications across biosensors and cell types.

Microglial plasticity governed by state-specific enhancer landscapes

This study identifies microglial subpopulations and shows their origin and transitions through transcriptomic and epigenomic analysis.

Data science and its future in large neuroscience collaborations.

The paper surveys data science practices in neuroscience collaborations to identify challenges and propose improvements in data management and training.

Norepinephrine changes behavioral state via astroglial purinergic signaling

The paper shows norepinephrine induces astroglial purinergic signaling that suppresses behavior through adenosine receptor activation in zebrafish.

An Efficient and Principled Model to Jointly Learn the Agnostic and Multifactorial Effect in Large-Scale Biological Data

The paper introduces CMC, a model that efficiently learns multifactorial effects in biological data and outperforms existing methods in several applications.

An inducible genetic tool for tracking and manipulating specific microglial states in development and disease

This paper develops an inducible genetic tool to study microglial states in development and disease, revealing their plasticity and functional roles.

ABDS: tool suite for analyzing biologically diverse samples

ABDS provides tools for analyzing biologically diverse samples by addressing missing value imputation, signature gene detection, and expression pattern visualization.

Determining molecular archetype composition and expression from bulk tissues with unsupervised deconvolution

This paper introduces an unsupervised deconvolution method, CAM3.0, to determine molecular archetype composition and expression from bulk tissues, showing its effectiveness through simulations and case studies.

Data-driven detection of subtype-specific and differentially expressed genes

This paper introduces OVE-FC and OVE-sFC tests to detect subtype-specific and differentially expressed genes, showing improved accuracy in deconvolution compared to existing methods.

Cell group analysis reveals changes in upper-layer neurons associated with schizophrenia

The paper uses cell-type deconvolution to analyze gene expression in schizophrenia and finds upper-layer neurons in the DLPFC are associated with SCZ risk.

AD-linked R47H-TREM2 mutation induces disease-enhancing proinflammatory microglial states in mice and humans

This study identifies R47H-TREM2 mutation-induced proinflammatory microglial states in human AD and tauopathy mice, showing Akt pathway involvement and potential therapeutic targets.

Astroglial dysfunctions drive aberrant synaptogenesis in developing brain with lengthy general anesthesia

This study shows that sevoflurane exposure disrupts astrocyte function, leading to synaptic overgrowth and dysfunction in developing brains.

Integrated Identification of Disease Specific Pathways Using Multi-omics data

This paper proposes two computational methods to integrate multi-omics data and identify disease-specific pathways, demonstrating their effectiveness on muscular dystrophy data.

Developmental heterogeneity of microglia and brain myeloid cells revealed by deep single-cell RNA sequencing

This study uses scRNA-seq to analyze microglia and myeloid cells across brain regions and developmental stages, revealing heterogeneity in postnatal microglia and their roles in disease.

An event-based paradigm for analyzing fluorescent astrocyte activity uncovers novel single-cell and population-level physiology

The paper introduces AQuA, an event-based analysis tool for astrocyte imaging data, revealing novel single-cell and population-level physiological phenomena.

Proteomic Architecture of Human Coronary and Aortic Atherosclerosis

The paper analyzes the proteomic architecture of human coronary and aortic atherosclerosis using mass spectrometry data from 200 specimens, identifying key protein networks and regulatory features associated with early disease.

Aberrant calcium signaling in astrocytes inhibits neuronal excitability in a human Down syndrome stem cell model