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DeepST: identifying spatial domains in spatial transcriptomics by deep learning
Author(s) -
Chang Xu,
Xiyun Jin,
Songren Wei,
Pingping Wang,
Meng Luo,
Zhaochun Xu,
Wenyi Yang,
Yideng Cai,
Lixing Xiao,
Xiaoyu Lin,
Hongxin Liu,
Rui Cheng,
Fenglan Pang,
Rui Chen,
Xi Su,
Ying Hu,
Guohua Wang,
Qinghua Jiang
Publication year - 2022
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkac901
Subject(s) - biology , context (archaeology) , benchmarking , spatial contextual awareness , spatial analysis , spatial learning , spatial ecology , computational biology , transcriptome , artificial intelligence , computer science , gene , neuroscience , gene expression , genetics , ecology , paleontology , remote sensing , marketing , hippocampus , business , geology

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