Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2024 Aug 26;14(9):e70009. doi: 10.1002/ctm2.70009

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

PMC Copyright notice

The identification of malignant cells in spatial transcriptomics (ST) data. (A) Clustering of 4796 spots in patient 6 (p6) into 11 distinct clusters. (B) Distribution of immune score including pan‐immune markers (PTPRC), pan‐T‐cell markers (CD2, CD3D, CD3E and CD3G), B‐cell markers (CD79A, MS4A1 and CD79B) and myeloid cell markers (CD68 and CD14) in the 11 clusters. (C) Hierarchical clustering assigning all spots in p6, except the reference cluster, into eight clusters. (D) Bar charts showing the distribution of copy number variation (CNV) score in the nine clusters. (E) The plot depicted the identified tumour cells and the distribution of tumour‐specific epithelial score in six tumour samples.