Publications by authors named "Bofei Yao"
Article Synopsis
- Spatial transcriptomics technologies help analyze gene expression in tissues, but current sequencing methods struggle to create detailed maps of cell distribution.
- To address this issue, researchers developed STASCAN, a deep-learning method that predicts how cells are distributed in spatial areas using both gene expression and histology images.
- STASCAN has been tested on various datasets from different technologies and shows improved accuracy in revealing intricate cellular arrangements and higher-resolution spatial distributions.
Whole-body regeneration of planarians is a natural wonder but how it occurs remains elusive. It requires coordinated responses from each cell in the remaining tissue with spatial awareness to regenerate new cells and missing body parts. While previous studies identified new genes essential to regeneration, a more efficient screening approach that can identify regeneration-associated genes in the spatial context is needed.
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