Hui Peng

Optimizing Proteomics Data Differential Expression Analysis via High-Performing Rules and Ensemble Inference

The paper identifies optimal workflow combinations for proteomics differential expression analysis using frequent pattern mining and ensemble inference, improving accuracy across multiple quantification platforms.

Turn `noise' to signal: accurately rectify millions of erroneous short reads through graph learning on edit distances

This paper introduces a method to correct millions of erroneous short reads by leveraging graph learning on edit distances, improving downstream applications like genome abundance quantification and SNP profiling.