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

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.

SUBMITTER: Zhuang H 

PROVIDER: S-EPMC10996487 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature