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This is the collection of codes and datasets described in the paper "Systematic dissection of tumor-normal single-cell ecosystems across a thousand tumors of 30 cancer types" This repository contains: Analyzed NMF, scRNA-seq, and Spatial matrix in h5ad format Analysis codes used for data analysis Documentation providing information on the analyzed datasets of both single-cell and spatial transcriptomes The descriptions for each item are as follows: Raw post-QC normalized scRNA-seq matrix files for each dataset: 'atlas_dataset.tar' Raw count matrices can be downloaded from the accession links in the 'scRNA-seq dataset Documentation’ file. Spatial matrix files for each dataset: 'spatial_dataset.tar' NMF module matrix files for each cell type: 'NMF_h5ad.tar' Analysis codes: 'analysis_codes.tar' and 'scjp.tar'
pan-cancer analysis, tumor ecosystem, immunotherapy, single-cell RNA sequencing
pan-cancer analysis, tumor ecosystem, immunotherapy, single-cell RNA sequencing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |