Weizhong Li

A Spatially Resolved Atlas of Alternative Polyadenylation Across 18 Human Tissues and 76 Disease States

The paper constructs a spatially resolved APA atlas across 18 human tissues and 76 diseases using SpatialAPA, revealing organ-specific APA patterns and their role in disease progression.

The recovery of 12,789 genomes revealed the diversity, function, and microbial interactions of the geothermal spring microbiome

This study reconstructs 12,789 microbial genomes from geothermal springs, revealing high diversity and how pH and temperature shape community structure and interactions.

scPhoenix: A Contrastive Learning-based Framework with Aux-Core Feature Disentanglement Enhances Sparse Cellular Multi-omics Translation

scPhoenix enhances sparse cellular multi-omics translation using contrastive learning and aux-core feature disentanglement, preserving heterogeneity and improving performance in high sparsity and spatial heterogeneity scenarios.

SpatialFuser: a unified framework for integrative analysis of unpaired spatial multi-omics data

SpatialFuser integrates unpaired spatial multi-omics data using a deep learning framework, improving spatial domain identification and cross-omics integration.

Long-term maintenance of patient-specific characteristics in tumoroids from six cancer indications in a common base culture media system

This study shows that tumoroids from six cancer types can be maintained long-term in a standardized serum-free medium, preserving their genetic and phenotypic features.

A universal single-cell transcriptomics atlas of human lung decodes multiple pulmonary diseases

The paper presents uniLUNG, a large single-cell transcriptomic atlas of the human lung, identifying new cell types and subpopulations associated with lung diseases.

MicroPhenoDB associates metagenomic data with pathogenic microbes, microbial core genes, and human disease phenotypes

MicroPhenoDB connects metagenomic data to pathogenic microbes, core genes, and disease phenotypes through curated associations and a score model.

piRPheno: a manually curated database to prioritize and analyze human disease related piRNAs

piRPheno is a manually curated database that provides experimentally supported piRNA-disease associations with confidence scores and clinical correlations.