Author

Romella Sagatelian

Columbia University

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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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Assay:DNA methylation· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Adolfo A. FerrandoiD· 1 shared Alberto CicciaiD· 1 shared Alejandro BuendiaiD· 1 shared Alexander T. WenzeliD· 1 shared Anouchka P. LaurentiD· 1 shared Anqi Shao· 1 shared Anthony S. CastanzaiD· 1 shared David M. OwensiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Adolfo A. FerrandoORCID

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3 papers

Recent·Most cited

Scalable co-sequencing of RNA and DNA from individual nuclei

Timothy R. Olsen, Pranay Talla, Romella Sagatelian, Julia Lynn Furnari, Jeffrey N. Bruce, Peter Canoll, Shan Zha, Peter A. Sims

This paper introduces DEFND-seq, a method for jointly profiling DNA and RNA from individual nuclei, enabling analysis of gene expression with copy number and SNV associations.

Nature Methods · Feb 12, 2025Peer-reviewedGenomics

GET: a foundation model of transcription across human cell types

Xi Fu, Shentong Mo, Alejandro Buendia, Anouchka P. Laurent, Anqi Shao, María del Mar Álvarez‐Torres, Tianji Yu, Jimin Tan, Jiayu Su, Romella Sagatelian, Adolfo A. Ferrando, Alberto Ciccia, Yanyan Lan, David M. Owens, Teresa Palomero, , Raúl Rabadán

GET is a foundation model that accurately predicts gene expression and regulatory interactions across 213 human cell types using chromatin accessibility and sequence data.

Nature · Jan 8, 2025Peer-reviewedBioinformatics

Data driven refinement of gene expression signatures for enrichment analysis

Alexander T. Wenzel, Farhoud Faraji, Kuniaki Sato, Kwat Medetgul-Ernar, Anthony S. Castanza, Romella Sagatelian, Gayathri Donepudi, Omar Halawa, Jean Y. J. Wang, Jorge Silvio Gutkind, Pablo Tamayo, Jill P. Mesirov

The paper refines gene expression signatures using multi-omics data to improve enrichment analysis by addressing lack of coordinate expression in gene sets.

bioRxiv · Nov 3, 2024 · PreprintBioinformatics