Anqi Zhu

SCALLOPS improves processing of optical pooled screens by enabling efficient alignment and analysis of large-scale image data, demonstrating superior performance over existing methods.

The paper develops a scalable mutagenic base editor platform to identify drug-resistant variants in cancer genomes efficiently.

MRLocus estimates gene-to-trait mediation effects using Bayesian methods on eQTL and GWAS data, showing high accuracy and better uncertainty estimation in simulations and real applications.

The paper introduces a nonparametric method for RNA-seq differential expression analysis that accounts for inferential uncertainty, showing improved false discovery rate control compared to existing methods.

apeglm replaces DESeq2's Normal prior on log fold changes with an adaptive Cauchy prior, reducing variance for low-count genes while preserving true large effect sizes.