Ed Curry leads the Bioinformatics Hub in the Division of Cancer at Imperial College. His research group works on the analysis of datasets from a wide range of platforms profiling the genetic, epigenetic and transcriptional state of cells during cancer development and acquisition of drug resistance. The main focus of this work is finding epigenetic mechanisms that cancer cells use to adapt to different selection pressures. Ed is an academic fellow of the Data Science Institute, and is actively involved in collaborations across Imperial College working on applications of machine learning and computational statistics to biomedical research.
One aspect of Ed's bioinformatics work involves identifying biologically informative patterns that exist within subsets of large, heterogeneous datasets. This is particularly important when studying cancers, as mechanisms of carcinogenesis and drug resistance are rarely conserved across across all patients with a particular disease, or indeed even across all cells from an individual tumour.
Ed is senior tutor for the Cancer Informatics MRes programme, and lectures on courses across the Faculty of Medicine. He is deputy director of the Genetics and Genomics module for the BSc in Medical Biosciences.
- Finding transcription factors with ChIP-seq peaks enriched at genomic regions featuring aberrant chromatin compartmentalization (inferred from DNA methylation data)
- Genetic Algorithm Framework for Subspace Pattern Mining
- Gene expression state modelling for compendium-based interpretation of microarray data
- Localized Co-Dependency Analysis
- Adaptive Binarization of Microarrays
et al., 2019, A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic and molecular-phenotypes of epithelial ovarian cancer, Nature Communications, Vol:10, ISSN:2041-1723
et al., 2018, Clinical value of bioelectrical properties of cancerous tissue in advanced epithelial ovarian cancer patients., Scientific Reports, Vol:8, ISSN:2045-2322
et al., 2018, Genes predisposed to DNA hypermethylation during acquired resistance to chemotherapy are identified in ovarian tumors by bivalent chromatin domains at initial diagnosis, Cancer Research, Vol:78, ISSN:1538-7445, Pages:1383-1391
et al., 2017, WWOX sensitizes ovarian cancer cells to paclitaxel via modulation of the ER stress response, Cell Death & Disease, Vol:8, ISSN:2041-4889
Simmonds P, Loomis E, Curry E, 2017, DNA methylation-based chromatin compartments and ChIP-seq profiles reveal transcriptional drivers of prostate carcinogenesis, Genome Medicine, Vol:9, ISSN:1756-994X