Emerging artificial intelligence applications in Spatial Transcriptomics analysis

Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artificial intelligence (AI) methods have been developed to utilize various machine lea...

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Detalles Bibliográficos
Autores principales: Li, Yijun, Stanojevic, Stefan, Garmire, Lana X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Mini Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201012/
https://www.ncbi.nlm.nih.gov/pubmed/35765645
http://dx.doi.org/10.1016/j.csbj.2022.05.056
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author Li, Yijun
Stanojevic, Stefan
Garmire, Lana X.
author_facet Li, Yijun
Stanojevic, Stefan
Garmire, Lana X.
author_sort Li, Yijun
collection PubMed
description Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artificial intelligence (AI) methods have been developed to utilize various machine learning and deep learning techniques for computational ST analysis. This review provides a comprehensive and up-to-date survey of current AI methods for ST analysis.
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spelling pubmed-92010122022-06-27 Emerging artificial intelligence applications in Spatial Transcriptomics analysis Li, Yijun Stanojevic, Stefan Garmire, Lana X. Comput Struct Biotechnol J Mini Review Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artificial intelligence (AI) methods have been developed to utilize various machine learning and deep learning techniques for computational ST analysis. This review provides a comprehensive and up-to-date survey of current AI methods for ST analysis. Research Network of Computational and Structural Biotechnology 2022-06-02 /pmc/articles/PMC9201012/ /pubmed/35765645 http://dx.doi.org/10.1016/j.csbj.2022.05.056 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mini Review
Li, Yijun
Stanojevic, Stefan
Garmire, Lana X.
Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title_full Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title_fullStr Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title_full_unstemmed Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title_short Emerging artificial intelligence applications in Spatial Transcriptomics analysis
title_sort emerging artificial intelligence applications in spatial transcriptomics analysis
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201012/
https://www.ncbi.nlm.nih.gov/pubmed/35765645
http://dx.doi.org/10.1016/j.csbj.2022.05.056
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