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Pathway- and gene-specific analysis for selection of representative cell line(s).
Abstract
(A) Heatmap of pathway-specific deviance scores (DSpath) with 14 unbiased-selected and 1 manually-included pathways (30 size NES| > 1.5; shown on the rows) and 9 unbiased-selected and 1 manually-included cell lines (columns). The genome-wide SDA projected deviance score (DSSDA) is shown on the top side-bar and the pathway size and normalized enrichment score (NES) are on the left. Positive (negative) NES indicates up-regulation (down-regulation) in ILC compared to IDC. Average of the 14 pathways and the pre-selected “KEGG Cell Adhesion Molecules” pathway are shown at the bottom. The p-values of DSpath are annotated in the heatmap (one circle: p − value p − value p − value DSgene for the 10 selected cell lines and 22 DE genes in “KEGG Cell Adhesion Molecules” pathway. (C) Part of KEGG PathView topological networks for BCK4 (DSpath = 1.323) for the “KEGG Cell Adhesion Molecules” pathway. The result shows discordance of 10 genes in BCK4 (orange stars showing up-regulation compared to ILC tumors and blue start showing down-regulation).</p- Image
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- Genetics
- Cancer
- Science Policy
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- suggesting cama1 followed
- machine learning framework
- largely unsolved issue
- based topological visualization
- given cancer type
- appropriate cancer model
- systematic congruence quantification
- present congruence analysis
- clinical cancer research
- representative cell lines
- cascam provides harmonization
- representative cancer models
- authenticate cancer models
- cell lines
- cancer models
- cancer subtype
- systems approach
- often available
- ilc research
- human tumors
- human tumor
- human studies
- faithful non
- expedite basic
- derived xenografts
- derived xenograft
- cascam ),