Author

Oisín Faust

University of CambridgeORCID 0000-0002-3359-1949Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Dóra BiharyiD· 1 shared Laura D. MartensiD· 1 shared Liviu PirvaniD· 1 shared Shamith SamarajiwaiD· 1 shared

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2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperGenomics

Dóra BiharyORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintApr 19, 2020

Identifying regulatory and spatial genomic architectural elements using cell type independent machine and deep learning models

Laura D. Martens, Oisín Faust, Liviu Pirvan…·Shamith Samarajiwa

The paper develops machine and deep learning models to predict chromatin interactions and TAD boundaries using histone modification data, independent of Hi-C data.

4 citations

Hi-CDNA methylation