Author

Dixian Zhu

Stanford Medicine

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

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:perturbation response prediction· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Livnat Jerby‐ArnoniD· 2 shared Christine Y. YehiD· 1 shared Min SuniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Livnat Jerby‐ArnonORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 3, 2025

Gradient-aware modeling advances AI-driven prediction of genetic perturbation effects

Dixian Zhu, Livnat Jerby‐Arnon

This paper introduces GARM, a machine learning framework for predicting genetic perturbation effects, showing it outperforms existing methods and introduces new evaluation criteria.

DOI 10.1101/2025.10.03.680360

machine learning (classical)perturbation response prediction

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 5, 2025

Robust self-supervised machine learning for single cell embeddings and annotations

Christine Y. Yeh, Min Sun, Dixian Zhu, Livnat Jerby‐Arnon

This paper introduces DR-GEM, a self-supervised meta-algorithm for single-cell data that improves embeddings and annotations by reducing overfitting and noise.

DOI 10.1101/2025.06.05.658097

scRNA-seqspatial transcriptomics

𝕏 PostBluesky