From be40d1509eb91ffe9c2ef38dadc2cbe830b29768 Mon Sep 17 00:00:00 2001 From: Andrea Alvarez Perez Date: Thu, 3 Apr 2025 11:27:32 +0000 Subject: [PATCH] Add README.md --- data/results/README.md | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 data/results/README.md diff --git a/data/results/README.md b/data/results/README.md new file mode 100644 index 0000000..551fb4d --- /dev/null +++ b/data/results/README.md @@ -0,0 +1,9 @@ +# ANALYSIS RESULTS + +## Data summary + +| File | Nº columns | Nº rows | Description | +|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|---------|-------------------------------------------------------------------------------------------------------------------------------------------------------| +| [cell_type_summary_stats.tsv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-and-single-cell-for-alzheimer/new/master/data/results/cell_type_summary_stats.tsv) | 10 | 9 | Contains the total number of DEGs, how many of them encoded known proteins, the number of these proteins included within the main Alzheimer's disease module, the cell-type-specific PPI subnetwork module size and its statistical significance by selecting node sets with the same degree distribution as the seed genes, repeating this process 1,000 times. A z-score was calculated, followed by a p-value and an FDR-corrected adjusted p-value. | +| [network_analysis.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-and-single-cell-for-alzheimer/new/master/data/results/network_analysis.csv) | 12 | 3,240 | Contains all proteins belonging to at least one cell-type-specific PPI subnetwork, the corresponding Protein Accession Number, Gene Entrez ID, Gene Symbol, Cell type, logfoldchange of the corresponding DEGs, p-value, adjusted p-value, and the value of several network metrics (degree, betweenness centrality, closeness centrality, clustering coefficient, is hub) measured for the full interactome. | +| [G_ppi_analysis.csv](https://medal.ctb.upm.es/internal/gitlab/disnet/network-medicine/network-medicine-and-single-cell-for-alzheimer/new/master/data/results/G_ppi_analysis.csv) | 12 | 16,928 | Contains all the unique proteins present in the interactome and the calculated values of several network metrics (degree, betweenness centrality, closeness centrality, clustering coefficient, is hub) and a flag is_in_LCC which is True when the protein is present in the main Alzheimer's disease module. | \ No newline at end of file -- 2.24.1