Meng Wang

The paper presents a comprehensive spatial proteome map of human tissues and cancers, enabling drug response analysis and target discovery.

This study tracks microbiome changes across four body sites in 86 participants over six years, revealing site-specific stability, individualized dynamics, and altered patterns in insulin-resistant individuals.

The paper shows that newly repopulated spinal cord microglia have a unique transcriptome linked to pain resolution in a tibial fracture model.

This paper introduces AdaReg, a data-adaptive robust estimation method for linear regression, showing improved performance on GTEx gene expression data compared to fixed gamma methods.

RobNorm is a normalization method for proteomics data that reduces systematic bias while preserving biological heterogeneity in heterogeneous samples.

The paper quantifies protein levels across 32 human tissues and compares them to transcriptome data, revealing insights into post-transcriptional regulation and disease mechanisms.

AdaTiSS provides a data-adaptive method to quantify tissue specificity scores for genes, improving comparability across tissues and genes.