About SORC

  • Reading spatial transcriptome literature; learning the application and common analysis of spatial transcriptome data of cancer.

  • Collection and preprocessing of spatial transcriptome data.

  • Collection and processing single-cell RNA-seq data from the same cancer types; Cell type annotation.

  • Downstream analysis of cancer spatial transcriptome data.

  • Web platform construction start.

  • Added 6 datasets for LUAD.

  • Added 12 datasets for SKCM.

  • Added 2 datasets for RCC.

  • Added 9 datasets for PRAD.

  • Added 2 datasets for PDAC.

  • Added 4 datasets for OVCA.

  • Added 1 datasets for LIHC.

  • Added 1 datasets for GIST.

  • Added 3 datasets for CSCC.

  • Added 26 datasets for BRCA.

  • Added 1 datasets for PCNSL.

  • Added 8 datasets for CRC.

  • Added 4 datasets for MIBC, CBT, HGSC and CESC.

  • Added 2 datasets for GBM.

  • The first version of SORC is complete.

  • The help of SORC is available!

  • Added a "News" tab to show the history and future of SORC.

  • Added the links of other spatial omics database on the "Home" page.

  • Added download of single-cell data and cell type annotation results.

  • Added two datasets of human cancer from Zenodo and Figshare including 11 slices.

  • Provided the labels in SORC of slice annotation.

  • Adjusted the scale of the H&E staining image and the cluster distribution picture.