TCGA ABSOLUTE auto-calling results with DoAbsolute
<p>The results are calculated with DoAbsolute (https://github.com/ShixiangWang/DoAbsolute) with cancer type specific and pan-cancer mode based on TCGA copy number segments data and mutation data. Take your own risk as the data are auto-processed and no manual check.</p> <p> </p> <p>array sample call status purity ploidy Genome doublings delta Coverage for 80% power Cancer DNA fraction Subclonal genome fraction tau E_CR<br> TCGA-OR-A5JO-01 TCGA-OR-A5JO-01 called 1 5 0 0.2 21 1 0.01 5.00281122783359 0<br> TCGA-OR-A5KQ-10 TCGA-OR-A5KQ-10 called 0.69 5 0 0.17 29 0.85 0 4.99022535717521 0<br> TCGA-OR-A5L8-10 TCGA-OR-A5L8-10 called 0.56 3.99 0 0.18 27 0.72 0 4.02086049427876 0<br> TCGA-OU-A5PI-10 TCGA-OU-A5PI-10 called 0.75 5 0 0.18 28 0.88 0.01 5.01366221195135 0</p> <p> </p> <p>Please cite the following paper if you use it in academic research:</p> <ul> <li>Wang, Shixiang, et al. "The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients' sex." International journal of cancer (2019).</li> <li>Carter, Scott L., et al. “Absolute quantification of somatic DNA alterations in human cancer.” Nature biotechnology 30.5 (2012): 413.</li> </ul> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Topics
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