Audrey Qiuyan Fu

Proteome asymmetry in mouse and human embryos before fate specification

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

Types of cis- and trans-gene regulation of expression quantitative trait loci across human tissues

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

Systematic identification of A-to-I editing associated regulators from multiple human cancers

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.

Imputation of single-cell gene expression with an autoencoder neural network

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

Learning causal biological networks with the principle of Mendelian randomization

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

Inferring Relevant Cell Types For Complex Traits Using Single-Cell Gene Expression

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.