Yan Zhang

SynEcoSys: a multifunctional platform of large-scale single-cell omics data analysis

SynEcoSys provides a unified platform for analyzing and exploring single-cell transcriptomic data from multiple sources, enhancing data comparability through standardized pipelines and manual annotations.

Diagnostic Evidence GAuge of Single cells (DEGAS): A flexible deep-transfer learning framework for prioritizing cells in relation to disease

DEGAS transfers disease information from patients to cells using deep transfer learning, identifying PHF19high myeloma cells linked to progression.

Single-cell Analysis of ACE2 Expression in Human Kidneys and Bladders Reveals a Potential Route of 2019-nCoV Infection

The paper analyzes ACE2 expression in human kidney and bladder cells to assess the potential for 2019-nCoV infection through the urinary system.

Integration of Mouse and Human Single-cell RNA Sequencing Infers Spatial Cell-type Composition in Human Brains

The paper integrates mouse and human single-cell RNA sequencing data to predict and spatially map cell-type composition in human brain tissue.

Specific ACE2 Expression in Cholangiocytes May Cause Liver Damage After 2019-nCoV Infection

In healthy human liver scRNA-seq, ACE2 is detected in 59.7% of cholangiocytes but 2.6% of hepatocytes, so 2019-nCoV may target bile duct cells rather than hepatocytes.

LAmbDA: Label Ambiguous Domain Adaption Dataset Integration Reduces Batch Effects and Improves Subtype Detection

LAmbDA reduces batch effects and improves subtype detection by integrating datasets with ambiguous labels across species and studies.