Author

Steven Kleinstein

Yale 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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Burhanuddin SabuwalaiD· 1 shared Chuan HeiD· 1 shared E AroniD· 1 shared Gisela GabernetiD· 1 shared Gur YaariiD· 1 shared Jian Xing· 1 shared Leying GuaniD· 1 shared Paraskevas FilippidisiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 12 mutual co-author links

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1 shared paperBioinformatics

Burhanuddin SabuwalaORCID

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2 papers

Recent·Most cited

Cell-level integration of gene expression and B cell receptor data captures complementary B cell information

E Aron, Gisela Gabernet, Burhanuddin Sabuwala, Gur Yaari, Steven Kleinstein

The paper integrates gene expression and B cell receptor data to capture complementary B cell information, revealing substructure supported by both transcriptional and receptor features.

bioRxiv · Oct 22, 2026 · PreprintBioinformatics

Robust semi-supervised scRNA-seq integration from virtual adversarial learning

Chuan He, Paraskevas Filippidis, Jian Xing, Steven Kleinstein, Leying Guan

scCRAFT+ improves scRNA-seq integration by incorporating marker gene information via virtual adversarial training, enhancing accuracy and robustness to noisy annotations.

bioRxiv · Jun 11, 2026 · PreprintBioinformatics