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Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis

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arxiv 2203.09664 v1 pith:AS2HQZ7D submitted 2022-03-18 cs.LG q-bio.GN

Yijun Li , Stefan Stanojevic , Lana X. Garmire This is my paper · ORCID
classification cs.LGq-bio.GN
keywords analysismethodsartificialcomputationalintelligencelearningspatialtranscriptomics
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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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