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This repository contains spatial transcriptomics data related to the Wu et al. 2021 study "A single-cell and spatially resolved atlas of human breast cancers". Processed count matrices, brightfield HE-images (plain and annotated) and meta-data (containing clinical information and spot pathological details) for 6 primary breast cancers profiled using the Visium assay (10X Genomics). If you use this dataset in your research, please consider citing the above study. The content of the files are: raw_count_matrices.tar.gz - spaceranger processed raw count matrices. spatial.tar.gz - spaceranger processed spatial files (images, scalefactors, aligned fiducials, position lists) filtered_count_matrices.tar.gz - filtered count matrices. metadata.tar.gz - metadata for tissues and spots of filtered count matrices, including clinical subtype and pathological annotation of each spot. images.pdf - pdf detailing the H&E and annotation images.
breast cancer, spatial transcriptomics, Visium
breast cancer, spatial transcriptomics, Visium
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| 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. | Top 10% | |
| 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 |
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