Daniel C. Morgan

The paper improves transcription factor binding prediction by integrating CpG methylation data with PWM-based scores, showing better performance than standard PWM scores for most TFs.

MetaQuad identifies shared polymorphic variants in metagenomic samples using density-based clustering, reducing false positives while maintaining true-positive rates.

The paper introduces netZoo, an open-source software suite for analyzing biological networks, demonstrating its use on cancer cell line data to identify drug resistance and cancer development factors.

gpuZoo accelerates gene regulatory network inference by using GPU acceleration, achieving faster and cheaper runtime compared to CPU-based methods.

The paper infers a gene regulatory network (GRN) from perturbation experiments in cancer cells, identifying both known and novel regulatory interactions that contribute to oncogenic processes.