Author

Rydberg Supo Escalante

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

Click to filter author papers

Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

Frequent Co-Authors

Anshul SainiiD· 1 shared Benjamin IzariD· 1 shared David A. KnowlesiD· 1 shared Dennis VitkupiD· 1 shared Dinara R. UsmanovaiD· 1 shared Guojie ZhongiD· 1 shared Jean-Baptiste Reynier· 1 shared Jiahao JiangiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEvolutionary Biology

Anshul SainiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multiple molecular and cellular properties jointly affect protein and site-specific evolutionary rates

Anshul Saini, Dinara R. Usmanova, Rydberg Supo Escalante, Dennis Vitkup

The paper uses neural networks to predict protein evolutionary rates by integrating molecular and cellular features across multiple scales, showing that protein-level and site-level properties contribute additively to evolutionary rate variance.

bioRxiv · May 23, 2026 · PreprintEvolutionary Biology

Smoother: A Unified and Modular Framework for Incorporating Structural Dependency in Spatial Omics Data

Jiayu Su, Jean-Baptiste Reynier, Xi Fu, Guojie Zhong, Jiahao Jiang, Rydberg Supo Escalante, Yiping Wang, Luis Aparicio, Benjamin Izar, David A. Knowles, Raúl Rabadán

Smoother integrates positional information into non-spatial models for spatial omics data, enabling accurate imputation, deconvolution, and dimensionality reduction in simulated and real datasets.

Genome biology · Dec 18, 2023Peer-reviewedBioinformatics