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Results of differential expression analysis for the manuscript "N-of-one differential gene expression without control samples using a deep generative model"

<p>Output files for the differential gene expression analysis in the manuscript "N-of-one differential gene expression without control samples using a deep generative model". &nbsp;The zip file contains three folders with the results for DESeq2 and the DGD (named NB-GMM in the folders).</p><p>- The folder &nbsp;False_positives_Fig4B contains the results presented in figure 4B of the manuscript. The file False_positive_single_vs_all.csv contains the results for the one-vs-all experiments. The file False_positive_5_vs_all.csv contains the results for the 5-vs-all experiments.</p><p>- The folder enrichment_plots contains the results presented in figure 4C of the manuscript. Each subfolder (e.g. Basal, HER2E, LumA, LumB) contain the differential expression analysis results for each breast cancer subtype.</p><p>- The folder fig5 contains the results presented in figure 5 of the manuscript. The results for each cancer are presented in a folder.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0