Author

Anne Kerber

Johannes Gutenberg University Mainz

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:Hi-C· 1 Assay:long-read sequencing· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Alejandro Ceron‐NoriegaiD· 1 shared Karin Everschor‐SitteiD· 1 shared Michael WandiD· 1 shared Stanislav SysiD· 1 shared Stephan WeißbachiD· 1 shared Susann SchweigeriD· 1 shared Susanne GerberiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alejandro Ceron‐NoriegaORCID

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1 paper

Recent·Most cited

Direct CCUT: A Versatile and Standardized Framework to Train 3C Deep Restoration Models

Stanislav Sys, Alejandro Ceron‐Noriega, Anne Kerber, Stephan Weißbach, Susann Schweiger, Michael Wand, Karin Everschor‐Sitte, Susanne Gerber

Direct CCUT trains deep models to reconstruct high-resolution chromatin interaction matrices from low-resolution Pore-C and 3C data using consumer GPUs.

bioRxiv · May 29, 2024 · PreprintBioinformatics