Author

Rossin Erbe

Johns Hopkins UniversityORCID 0000-0002-3423-2104Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:dimensionality reduction· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Elana Judith FertigiD· 3 shared Genevieve Stein-O’BrieniD· 2 shared Alexander V. FavoroviD· 1 shared Daria A. GaykalovaiD· 1 shared Hariharan EaswaraniD· 1 shared Michael D. KessleriD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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3 shared papersBioinformatics

Elana Judith FertigORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 23, 2023

A mechanistic simulation of molecular cell states over time

Rossin Erbe, Genevieve Stein-O’Brien, Elana Judith Fertig

This paper simulates molecular cell states over time to study gene and protein expression dynamics and their regulatory relationships.

3 citations

DNA methylationbulk RNA-seq

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BioinformaticsbioRxivPreprintAug 4, 2022

Transcriptomic forecasting with neural ODEs

Rossin Erbe, Genevieve Stein-O’Brien, Elana Judith Fertig

RNAForecaster uses neural ODEs to predict future gene expression states in single cells from temporal transcriptomic data.

4 citations

scRNA-seqdeep learning

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BioinformaticsNucleic Acids ResearchPeer-reviewedApr 25, 2020

Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets

Rossin Erbe, Michael D. Kessler, Alexander V. Favorov…·Elana Judith Fertig

This study integrates multiple scATAC-seq datasets using matrix factorization and transfer learning to identify common regulatory patterns across datasets.

12 citations

scATAC-seqmatrix factorization

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