Article

Learning context-aware, distributed gene representations in spatial transcriptomics with SpaCEX

2024-06-10

Abstract excerpt

Distributed gene representations are pivotal in data-driven genomic research, offering a structured way to understand the complexities of genomic data and providing foundation for various data analysis tasks. Current gene representation learning methods demand costly pretraining on heterogeneous transcriptomic corpora, making them less approachable and prone to over-generalization. For spatial transcriptomics (ST)...

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Literature Corpus work: b2cb73ad-8dc1-5f69-89bb-a200d8875e0e
DOI: 10.1101/2024.06.07.598026

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