Author

Richard C. Brown

Centre for Human Genetics

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:variant effect prediction· 2 Assay:ATAC-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Marieke OudelaariD· 2 shared Damien J. DownesiD· 2 shared Gerton A. LunteriD· 2 shared Jelena M. TeleniusiD· 2 shared Jim R. HughesiD· 2 shared Matthew E. GosdeniD· 2 shared Ron SchweßingeriD· 2 shared Andrew John KingiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

A. Marieke OudelaarORCID

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2 papers

Recent·Most cited

GenomicsNature MethodsPeer-reviewedOct 12, 2020

DeepC: Predicting chromatin interactions using megabase scaled deep neural networks and transfer learning.

Ron Schweßinger, Matthew E. Gosden, Damien J. Downes…·Jim R. Hughes

DeepC predicts chromatin interactions from DNA sequence using deep learning and transfer learning, generalizing across cell types and resolutions.

222 citationstop 1%

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

GeneticsbioRxivPreprintJan 15, 2020

An integrated platform to systematically identify causal variants and genes for polygenic human traits.

Damien J. Downes, Ron Schweßinger, Stephanie Hill…·Jim R. Hughes

The paper develops a platform combining ATAC-seq, DNaseI footprints, NG Capture-C, and machine learning to identify causal variants and genes for polygenic human traits.

19 citations

𝕏 PostBluesky