moncada2020integrating_ST_PancreaticCancer

moncada2020integrating_ST_PancreaticCancer is a spatial transcriptomics datasets of primary pancreatic tumors used by SpaGCN45 method, published with a study presenting a method for multimodal intersection analysis of Single-cell RNA data and spatial transcriptomics data68. The moncada2020integrating_ST_PancreaticCancer dataset contains 12 sub-datasets with ~19000 gene expression features , and the number of spots for the 12 sub-datasets are 288 (GSM4100728_PDAC-G), 316 (GSM4100721_PDAC-A), 359 (GSM4100727_PDAC-F), 359 (GSM4100726_PDAC-E), 460 (GSM4100725_PDAC-D), 428 (GSM3036911_PDAC-A-filtered), 224 (GSM3405534_PDAC-B-filtered), 288 (GSM4100722_PDAC-A), 321 (GSM4100723_PDAC-B), 996 (GSM3405534_PDAC-B) and 242 (GSM4100724_PDAC-B). The original paper provided the spot-wise gene expression matrix in https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE111672, paired with H&E images and single cell sequencing data of each sub-dataset.