Author

Nina Shenker-Tauris

New York UniversityORCID 0000-0002-9657-2913Unclaimed 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· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aristotelis TsirigosiD· 1 shared Bo XiaiD· 1 shared David FenyöiD· 1 shared Eric WangiD· 1 shared Francesco E. BoccalatteiD· 1 shared Iannis AifantisiD· 1 shared Jane A. SkokiD· 1 shared Javier Rodriguez-HernaeziD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Aristotelis TsirigosORCID

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2 papers

Recent·Most cited

Cell type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening

Jimin Tan, Nina Shenker-Tauris, Javier Rodriguez-Hernaez, Eric Wang, Theodore Sakellaropoulos, Francesco E. Boccalatte, Palaniraja Thandapani, Jane A. Skok, Iannis Aifantis, David Fenyö, Bo Xia, Aristotelis Tsirigos

This study introduces C.Origami, a deep learning model that predicts cell type-specific 3D chromatin organization, enabling in silico genetic screening to identify genomic regions affecting chromatin structure.

Nature Biotechnology · Jan 9, 2023Peer-reviewedGenomics

Improved Metagenomic Binning with Transformers

Nina Shenker-Tauris, Jeanette L. Gehrig

This paper improves metagenomic binning by using BERT to generate contig embeddings, achieving better clustering and genome reconstruction than traditional methods.

bioRxiv · Feb 12, 2022 · PreprintGenomics