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FICTURE: Scalable segmentation-free analysis of submicron resolution spatial transcriptomics
Yichen Si1, ChangHee Lee2, Yongha Hwang3,4
1Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, 48109-2029, USA.
Biorxiv : the Preprint Server for Biology
|November 14, 2023
Summary
FICTURE is a new segmentation-free method for analyzing spatial transcriptomics (ST) data. It efficiently processes large, high-resolution datasets from complex tissues, overcoming limitations of existing approaches.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Spatial transcriptomics (ST) enables gene expression analysis with spatial resolution.
- Current ST data analysis methods struggle with complex tissues due to cell size and shape variability.
- Existing segmentation-free methods are limited in scale and gene coverage for high-throughput studies.
Conclusions:
- FICTURE is a powerful, scalable, and precise tool for high-resolution ST data analysis.
- Overcomes key limitations of current methods, enabling analysis of complex tissues.
- Facilitates exploration of submicron spatial transcriptomic architecture across various ST platforms.
