Andi Dhroso

The paper introduces GROQ-seq, a high-throughput platform for linking protein function to sequencing data, and presents pilot datasets for transcription factors, polymerases, and proteases.

This study demonstrates that GROQ-seq provides reproducible, scalable measurements of protein function across different facilities.

The paper introduces PREFFECTOR, a feature-based supervised learning method to predict bacterial effectors across six secretion systems with high accuracy.

This study evaluates if isoform-level RNA-Seq data improves supervised machine learning performance in biological classification tasks compared to gene-level data.