Author

Erik Drysdale

Great Ormond Street Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1

Frequent Co-Authors

Benjamin CarliniD· 1 shared Jeffrey D GreeniD· 1 shared Julie M. LivingstoneiD· 1 shared Lawrence E. HeisleriD· 1 shared Michael E. FraseriD· 1 shared Paul Christopher BoutrosiD· 1 shared Robert Glen BristowiD· 1 shared Robert LesurfiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Benjamin CarlinORCID

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2 papers

Recent·Most cited

A multitask neural network trained on embeddings from ESMFold can accurately rank order clinical outcomes for different cystic fibrosis mutations

Erik Drysdale

This paper uses ESMFold embeddings in a multitask neural network to predict clinical outcomes for CFTR mutations, finding significant correlations with sweat chloride, pancreatic insufficiency, and infection rates.

bioRxiv · Oct 26, 2023 · PreprintGenetics

The Telomere Length Landscape of Prostate Cancer

Julie M. Livingstone, Yu-Jia Shiah, Takafumi N. Yamaguchi, Lawrence E. Heisler, Vincent Huang, Robert Lesurf, Tsumugi Gebo, Benjamin Carlin, Stefan E. Eng, Erik Drysdale, Jeffrey D Green, Theodorus van der Kwast, Robert Glen Bristow, Michael E. Fraser, Paul Christopher Boutros

This study examines telomere length in prostate cancer, finding associations with genomic instability and clinical outcomes.

Nature Communications · Nov 25, 2021Peer-reviewedGenomics