Author

Yixuan He

University of Oxford

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Holly R. SteachiD· 1 shared Matthew HirniD· 1 shared Michael PerlmutteriD· 1 shared Natalia B. IvanovaiD· 1 shared Siddharth Viswanath· 1 shared Smita KrishnaswamyiD· 1 shared Xitong ZhangiD· 1 shared

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2024-2024 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Holly R. SteachORCID

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1 paper

Recent·Most cited

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning

Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia B. Ivanova, Matthew Hirn, Michael Perlmutter, Smita Krishnaswamy

This paper introduces GEFMAP, a geometric deep learning method to predict metabolic flux from scRNA-seq data, estimating reaction rates in metabolic networks.

Lecture notes in computer science · Jan 1, 2024Peer-reviewedBioinformatics