Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 98 references that are in the map. First posted on arXiv 18 Mar 2022.
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10 of 98 references.
References · 10
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Citing papers per year: 2024: 1; 2025: 1.
2 papers.