Author

Aaron Zweig

Columbia UniversityORCID 0009-0008-4598-4601Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

David A. KnowlesiD· 1 shared Elham AziziiD· 1 shared Justin HongiD· 1 shared Keren IsaeviD· 1 shared Mathias PereziD· 1 shared Smriti VaidyanathaniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 6 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 paperSystems Biology

David A. KnowlesORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Systems BiologybioRxivPreprintNov 26, 2025

Robust Integration of Sparse Single-Cell Alternative Splicing and Gene Expression Data with SpliceVI

Smriti Vaidyanathan, Keren Isaev, Aaron Zweig, David A. Knowles

SpliceVI integrates sparse single-cell alternative splicing and gene expression data to better capture biological correlates and uncover splicing-based differences in mouse cells.

2 citations

mousescRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 22, 2025

Domain-Invariant Feature Learning for Patient-Level Phenotype Prediction from Single-Cell Data

Mathias Perez, Justin Hong, Aaron Zweig, Elham Azizi

The paper improves patient-level phenotype prediction from scRNA-seq data by learning domain-invariant features, showing better out-of-domain accuracy and biological fidelity.

DOI 10.1101/2025.09.22.677881

humanscRNA-seq

𝕏 PostBluesky