SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes.

ABSTRACT: Spatially resolved sequencing technologies help us dissect how cells are organized in space. Several available computational approaches focus on the identification of spatially variable genes (SVGs), genes whose expression patterns vary in space. The detection of SVGs is analogous to the identification of differentially expressed genes and permits us to understand how genes and associated molecular processes are spatially distributed within cellular niches. However, the expression activities of SVGs fail to encode all information inherent in the spatial distribution of cells. Here, we devised a deep learning model, Spatially Informed Artificial Intelligence (SPIN-AI), to identify spatially predictive genes (SPGs), whose expression can predict how cells are organized in space. We used SPIN-

SUBMITTER: Meng-Lin K 

PROVIDER: S-EPMC10296445 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature