Sampling and ranking spatial transcriptomics data embeddings to identify tissue architecture

Sampling and ranking spatial transcriptomics data embeddings to identify tissue architecture

Spatial transcriptomics is an emerging technology widely applied to the analyses of tissue architecture and corresponding biological functions. Substantial computational methods have been developed for analyzing spatial transcriptomics data. These methods generate embeddings from gene expression and...

Full description

Bibliographic Details
Main Authors: Yu Lin, Yan Wang, Yanchun Liang, Yang Yu, Jingyi Li, Qin Ma, Fei He, Dong Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Genetics
Subjects:
embedding evaluation
deep learning
message passing
spatial transcriptomics
tissue architecture
spatial autocorrelation
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.912813/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.912813/full

Similar Items