Article

INSPIRE: interpretable, flexible and spatially-aware integration of multiple spatial transcriptomics datasets from diverse sources

2024-09-25

Abstract excerpt

Recent advances in spatial transcriptomics technologies have led to a growing number of diverse datasets, offering unprecedented opportunities to explore tissue organizations and functions within spatial contexts. However, it remains a significant challenge to effectively integrate and interpret these data, often originating from different samples, technologies, and developmental stages. In this paper, we present...

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Literature Corpus work: e320d7fe-999e-501b-8790-73b5761d4039
DOI: 10.1101/2024.09.23.614539

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