ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data

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Publication Details

Journal
Bioinformatics
Published
2025-04-24
DOI
https://doi.org/10.1093/bioinformatics/btaf218
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

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article

ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data

Sayali Anil Alatkar, Daifeng Wang
3 citations
Bioinformatics
Single-cell and spatial transcriptomics
2.42
article

ARTEMIS integrates autoencoders and Schrödinger Bridges to predict continuous dynamics of gene expression, cell population, and perturbation from time-series single-cell data

Sayali Anil Alatkar, Daifeng Wang
article en
3 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(Supplement_1)
University of Wisconsin–Madison (US)
National Science Foundation, Simons Foundation Autism Research Initiative, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 11%
Single-cell and spatial transcriptomics
2.42
DOIOpen Access PDFOpenAlex
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