| Ying et al. [74] |
Pancreatic cancer |
CARD |
A variety of cell types and molecular markers were identified, which had clear spatial localizations and which defined the progression, heterogeneity, and regionalization of pancreatic cancer. |
| Runmin et al. [98] |
Ductal carcinoma |
CellTrek |
Identified tumor subclones and the specific T cell status near the tumor area. |
| Jerby-Arnon et al. [100] |
Lung cancer |
DIALOGUE |
Found the multicellular programs (MCPs) that were involved in immune activation, tissue remodeling, and cancer immunotherapeutic resistance. |
| Qianqian et al. [97] |
Pancreatic cancer |
DSTG |
Achieved high level segmentation and revealed the spatial structure of cell heterogeneities in tissues. |
| Edward et al. [102] |
Melanoma, invasive ductal carcinoma and ovarian adenocarcinoma |
BayesSpace |
Identified tissue structure at the original resolution and transcriptional heterogeneity, and restored, to a large extent, the neighborhood structure of cell types. |
| Yi et al. [103] |
Colorectal cancer |
SC-MEB |
Compared with BayesSpace, SC-MEB showed a better ability to separate clusters. |
| Yusong et al. [106] |
Pancreatic ductal adenocarcinoma and high-grade serous ovarian cancer |
SPCS |
Evaluation of combing two factors (ST and scRNA seq) facilitated smoothing the noise and preventing the loss of some important events. |
