Xing Qiu

PXN Unlocks the Power of Public Gene Expression Data Through Cross-Technology Integration

PXN improves cross-platform gene expression data integration by removing technology-specific biases and enhancing differential expression analysis.

scFPC-DE: Robust Differential Expression Analysis Along Single Cell Trajectories via Functional Principal Component Analysis

scFPC-DE identifies temporally differentially expressed genes along single-cell trajectories by modeling gene expression as functions of pseudotime and using functional principal component analysis to capture shared covariance structures.

iKraph: a comprehensive, high-quality biomedical knowledge graph for AI-powered, data-driven biomedical research

The paper constructs a comprehensive biomedical knowledge graph (iKraph) using PubMed abstracts and integrates it with public databases to enable AI-powered knowledge discovery, demonstrating its utility in drug repurposing.

A systems genomics approach uncovers molecular associates of RSV severity

The paper integrates multi-omic data to identify cellular pathways associated with RSV severity in infants.

Fixel-Based Analysis and Free Water Corrected DTI Evaluation of HIV Associated Neurocognitive Disorders

This study compares Fixel-based analysis and free water corrected DTI metrics in HIV+ and HIV- individuals to assess white matter damage and its association with cognitive impairment.

Super-delta2: An Enhanced Differential Expression Analysis Procedure for Multi-Group Comparisons of RNA-seq Data

Super-delta2 is a differential expression analysis method for RNA-seq data that controls type I error and achieves high statistical power in multi-group comparisons.

GRASP: a Bayesian network structure learning method using adaptive sequential Monte Carlo

GRASP is a Bayesian network structure learning method that uses adaptive sequential Monte Carlo to improve network discovery from genomic data.

Insufficiency in airway interferon activation defines clinical severity to infant RSV infection

The paper identifies a lack of airway interferon activation as a marker of severe infant RSV infection and shows that blocking IFN signaling increases viral infection in vitro.

Highly Efficient Hypothesis Testing Methods for Regression-type Tests with Correlated Observations and Heterogeneous Variance Structure

The paper introduces efficient hypothesis testing methods for regression-type tests with correlated data and heterogeneous variance, outperforming existing methods in speed and accuracy.

Neonate gut and respiratory microbiota: coordinated development through time and space

The paper examines co-occurrence patterns of gut and respiratory microbiota in pre- and full-term infants over the first year, identifying three patterns of CST manifestation related to infant maturity.