Audrey Qiuyan Fu

The paper shows proteomic asymmetry in mouse and human embryos that influences lineage segregation.

The paper investigates cis- and trans-regulation of eQTLs across human tissues, identifying different regulatory network types and mediator roles.

The paper identifies genes associated with A-to-I RNA editing in four cancers using a logistic regression model and highlights cancer-specific and shared regulatory patterns.

The paper introduces LATE and TRANSLATE autoencoder-based methods for imputing single-cell RNA-seq data, showing improved performance over existing methods.

This paper introduces MRPC, a machine learning algorithm that uses Mendelian randomization to infer causal biological networks from genotype and molecular phenotype data.

RolyPoly links GWAS summary statistics with single-cell RNA-seq to identify trait-relevant cell types and genes, finding associations between microglia and Alzheimer's disease, and oligodendrocytes and schizophrenia.