Mengwei Li

Uni-TINT creates a unified single-cell atlas of T and innate lymphoid cells across diseases and tissues, identifying new cell subtypes and functional associations.

The paper constructs a large-scale heart atlas and identifies cellular changes and communication patterns in aging and disease using a new computational method.

GraphST improves spatial transcriptomics analysis by integrating clustering, integration, and deconvolution through graph self-supervised contrastive learning, achieving higher accuracy than existing methods.

FastIntegration integrates large-scale single-cell RNA-seq data efficiently and improves downstream analysis by providing batch-corrected gene expression values.

SEDR couples a deep autoencoder over expression with a variational graph autoencoder over position, improving clustering in dorsolateral prefrontal cortex and splitting a visually uniform breast tumour region.

The paper describes the 2019nCoVR resource, which curates and analyzes SARS-CoV-2 genomes, variants, and haplotypes globally, providing daily updates and integration with literature and databases.

This study identifies PRKCG as a glioma biomarker through multi-omics integration, showing its association with glioma progression and survival outcomes when combined with MGMT.