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Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis (2203.09664v1)
Published 18 Mar 2022 in cs.LG and q-bio.GN
Abstract: 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 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.