DAIS: a method for identifying spatial domains based on density clustering of spatial omics data

作     者：Qichao Yu Ru Tian Xin Jin Liang Wu Qichao Yu;Ru Tian;Xin Jin;Liang Wu

作者机构：College of Life SciencesUniversity of Chinese Academy of SciencesBeijing 100049China BGI ResearchShenzhenGuangdong 518083China BGI ResearchChongqing 401329China BGI ResearchShenzhenGuangdong 518083China BGI ResearchChongqing 401329China 

出 版 物：《Journal of Genetics and Genomics》 (遗传学报（英文版）)

年 卷 期：2024年第51卷第8期

页      面：884-887页

核心收录：

学科分类：0907[农学-林学] 08[工学] 0829[工学-林业工程] 09[农学] 

基　　金：supported by the China National GeneBank(CNGB) supported by the National Key R&D Program of China(2021YFC2501900) the National Natural Science Foundation of China(32300514) the Science,Technology and Innovation Commission of Shenzhen Municipality(LCYX20220620105200001) 

主　　题：arrangement identifying domains 

摘      要：In multicellular organisms,the spatial arrangement of cells profoundly influences the biological functions of tissues,underscoring the importance of identifying spatial domains in *** advancements in spatial omics,particularly spatial transcriptomics(ST)(Bressan et al.,2023),have enhanced our understanding of tissue spatial organization(Zhang et al.,2022;Tian et al.,2023).