Size-dependent Copy Number Analysis Data
<p>Data<strong> </strong>used for analysis described in <em><span>Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratification</span></em></p> <p><strong>MeningiomaSegs.zip </strong>contains the generated copy number segmentation from the sesame pipeline for 565 meningioma samples used in this project</p> <p><strong>MeningiomaClinical.xlsx </strong>contains deidentified clinical outcomes and relevant molecular data for meningioma samples</p> <p><strong>blank_CNV_table.xlsx </strong>is a blank template loaded in several R scripts in this project</p> <p><strong>hg38.14_chrom_arms_manual.txt </strong>Details the starting and ending points of chromosome arms</p> <p><strong>sampleinventory_excluded.xlsx</strong> Lists the TCGA cancer types and how many samples have both copy number and clinical data after manual exclusion of other samples</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
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