Deborah A. Weighill

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.

The paper introduces EGRET, a method to infer genotype-specific gene regulatory networks and identifies regulatory differences associated with diseases in specific cell types.

GRAND is a database of gene regulatory network models across human conditions, enabling comparison between biological states and drug response prediction.

This paper presents a theoretical framework for PANDA, a gene regulatory network inference method, and shows it outperforms state-of-the-art methods in predicting transcription factor binding.

The paper integrates genomic, metabolomic, and network data to identify target genes involved in lignin biosynthesis/degradation in Populus trichocarpa.