Alteration Network
In this panel, you can identify and visualize gene alteration relationships, including co-alteration and mutually exclusive alteration patterns, within selected datasets and genes.
Parameters:
- Gene: Input a gene/isoform or multiple genes of interest.
- Alteration Pattern: Select alteration pattern of interest.
- ICGC Tumor/Selected Datasets: Select cancer types of interest in the "ICGC Tumor" field and click "add" to build dataset list in the "Selected Datasets" field. Also, manual input of cancer types split by comma (e.g. Kidney-RCC,Liver-HCC) is also acceptable. The interaction analysis is based on the datasets list.
Notes
- We considered six types of gene alterations: alternative promoter usage, expression outliers, genetic variants, alternative splicing events, allele-specific expression, and copy number variations.
- When searching , the displayed network highlights the top 10 nodes with the highest degrees connected to the target gene within the selected datasets and interaction patterns.
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