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Emerging Artificial Intelligence Applications in Spatial Transcriptomics\n Analysis

2022/03/17 by Yijun Li, Stefan Stanojevic, Li, Yijun +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · #Single-cell and spatial transcriptomics

paper · pdf · doi:10.48550/arxiv.2203.09664

Abstract

Spatial transcriptomics (ST) has advanced significantly in the last few\nyears. Such advancement comes with the urgent need for novel computational\nmethods to handle the unique challenges of ST data analysis. Many artificial\nintelligence (AI) methods have been developed to utilize various machine\nlearning and deep learning techniques for computational ST analysis. This\nreview provides a comprehensive and up-to-date survey of current AI methods for\nST analysis.\n

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