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Some recurrently altered regions associated with changes in survival contain known cancer genes
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Classroom Contents
Cancer Genomics Consortium 2023 Webinar Series - CGC 2022 Annual Meeting Poster Winners
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- 1 Intro
- 2 Ovarian Cancer Survival
- 3 Surgical Biopsies
- 4 High-Grade Serous Ovarian Cancer
- 5 Analysis Strategy
- 6 Ground Truths
- 7 singleR Annotation
- 8 Manual Annotation
- 9 100% Reproducible / Colab Code
- 10 Final scRNA Annotations
- 11 Applied to scRNA (Discovery)
- 12 Applied to Bulk Data (Recovery)
- 13 Semenkovich Home Research Team
- 14 Example: Quiet genome without correction
- 15 Example: Detected copy event without correction
- 16 Example: Cutoff for calling copy even adjusted
- 17 Example: Recentering with adjusted cutoff
- 18 Copy number alteration is common, some cases extensive
- 19 Correlation may increase when split by diagnosis
- 20 Correlation changed with combined cohort
- 21 GISTIC-Genomic Identification of Significant Targets in Cancer
- 22 GISTIC identifies 24 recurrently altered regions in Wash U
- 23 Some recurrently altered regions associated with changes in survival contain known cancer genes
- 24 Clustering shows possible patterns among recurrent regions containing known cancer genes
