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Size-dependent Copy Number Analysis Data

<p>Data<strong>&nbsp;</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&nbsp;</strong>is a blank template loaded in several R scripts in this project</p> <p><strong>hg38.14_chrom_arms_manual.txt&nbsp;</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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