A contrastive learning approach to integrate spatial transcriptomics and histological images
Published in Computational and Structural Biotechnology Journal, 2024
The rapid growth of spatially resolved transcriptomics technology provides new perspectives on spatial tissue architecture. Deep learning has been widely applied to derive useful representations for spatial transcriptome analysis. However, effectively integrating spatial multi-modal data remains challenging. Here, w…
Recommended citation: Yu Lin, Yanchun Liang, Duolin Wang, Yuzhou Chang, Qin Ma, Yan Wang, Fei He, Dong Xu. (2024). "A contrastive learning approach to integrate spatial transcriptomics and histological images" Computational and Structural Biotechnology Journal.
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