Jianhua Yin

This study uses single-cell multi-omics to analyze transcript isoform and immune repertoire changes in aging human immune cells, identifying age-related molecular features in T cells and B cells.

This study uses single-cell multi-omics to analyze immune reconstitution failure in HIV patients, identifying genetic and epigenetic factors and developing a predictive model.

This study identifies molecular and cellular signatures of regular physical activity in human peripheral blood using multi-omics profiling, revealing enhanced metabolic and immune functions.

This study uses single-cell multi-omics data from the CIMA cohort to identify BMI-associated immune cell features and molecular mechanisms linked to immune-related diseases.

The paper introduces CIMA, a multi-omics atlas of human immune cells, identifying regulatory mechanisms and genetic associations across sex, age, and genetic factors.

SpaSEG is a convolutional neural network model for analyzing spatially resolved transcriptomics data, showing superior reliability and efficiency in detecting spatial patterns and intercellular interactions.

This study uses multi-omics data to analyze immune and metabolic changes in mountain climbers during acclimatization and extreme altitude exposure.

scPAFA efficiently computes pathway activity scores and identifies multicellular disease-related pathway modules in large-scale scRNA-seq data.

Chord improves doublet detection in scRNA-seq by combining multiple methods, showing higher accuracy and stability across different datasets.

This study uses single-cell RNA-seq to analyze the tumor microenvironment of breast cancer, revealing cell type diversity and immune evasion mechanisms.