PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns

Zhuang, H.; Ji, Z.

doi:10.1101/2024.03.20.585926

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bioRxiv · 10.1101/2024.03.20.585926

PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns

Zhuang, H.·Ji, Z.

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Abstract

Modeling temporal and spatial gene expression patterns in large-scale single-cell and spatial transcriptomics data is a computationally intensive task. We present PreTSA, a method that offers computational efficiency in modeling these patterns and is applicable to single-cell and spatial transcriptomics data comprising millions of cells. PreTSA consistently matches the results of state-of-the-art methods while significantly reducing computational time. PreTSA provides a unique solution for studying gene expression patterns in extremely large datasets.

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Zhuang, H., Ji, Z.. 2024-03-25. PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns. https://doi.org/10.1101/2024.03.20.585926

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