A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data

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Publication Details

Journal
Bioinformatics
Published
2024-09-01
DOI
https://doi.org/10.1093/bioinformatics/btae400
Citations
19
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
4.21

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article

A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data

Lin Wan, Qi Jiang
19 citations
Bioinformatics
Single-cell and spatial transcriptomics
4.21
article

A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data

Lin Wan, Qi Jiang
article en
19 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(Supplement_2)
Chinese Academy of Sciences (CN), Academy of Mathematics and Systems Science (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 5%
Single-cell and spatial transcriptomics
4.21
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