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R compatible Seurat's objetc .rds files with count data and metadata from single cell RNA seq analysis to characterize the prostate cancer tumoral microenviroment of 31 fusion biopses.

Pre-processed Seurat objects with cellular and functional annotation information from the scRNAseq study on PC fusion biopsy samples. The data consists of rds files composed of normalised counts matrices, normalised and scaled counts, functional enrichment counts at the cellular level and metadata with patient grouping and cellular annotation variables. There are 3 .rds files, one with the total cells (SCP_data_analysis), with the selection of cells annotated as cancerous (selected_cancer_analysis) and cancer-associated fibroblasts (selected_caf_analysis).

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DAA for the group formed in 'DAC for the study molecular biomarkers associated with the diagnosis and severity of genetic diseases

At the time of requesting access to the data deposited by this DAC, the project in which the researcher will use these data must, without exception, be funded and therefore must be approved by the corresponding Ethics Committee (CE), for studies involving human participants.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000000888 Transcriptome Analysis

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF50000319833 rds 62.0 MB
EGAF50000319834 rds 32.2 MB
EGAF50000319835 rds 509.7 MB
3 Files (603.8 MB)