P.S. McKeever

The paper introduces an interactive Data Integrator for uniform processing and integration of bulk RNA-seq datasets from the MorPhiC program and external sources.

This paper demonstrates that synthetic scRNA-seq data generated by leading methods can be attacked to infer donor membership, showing privacy risks and evaluating noise-based defenses.

The paper benchmarks generative models for synthetic bulk RNA-seq data, finding trade-offs between utility, biological preservation, and privacy risks across different methods.

This paper introduces a user-friendly scheduler for big data processing in bioinformatics, reducing cost and time for bulk RNA sequencing workflows using a hybrid architecture and supercomputing.