1.Visualize genomics information including mRNA expression, mutations, copy number alterations, gene fusions, etc.
2.Driver Genes provides an overview of cancer driver gene status in the query model.
3.In All Genes, you can search for genes of interest.
Visualization of pharmacological data collected from various reference databases. You can select one source for data visualization. Drug efficacy is represented by IC50 and AUC for in vitro CTG assays.
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1.Overview of models based on gene expression landscape, visualized through UMAP analysis of the entire transcriptome.
2.Genetic Analysis shows: (a) the query model's genome ancestry; (b) its genetic similarity to other models, with highly identical ones marked in red; (c) the variant allele frequency (VAF) by cancer type.
3.Efficacy Similarity identifies models with drug response patterns highly similar to the query model.
4.Pathway Activation highlights pathways that are either highly activated or suppressed in the query model.
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Pathway status:
Pathway database:
Ranking metascore (descending) in all cell lines:
Switching operation: