Q-omics provides the consensus-scored GET1-SH3BGR profile across patient tissues and cancer cell-line models.

Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.

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Cross-omics associations

This table shows molecular features associated with GET1-SH3BGR in patient tissues and cancer cell lines. In cancer cell lines, GET1-SH3BGR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼shRNA
CRISPR	987	BONE (242)	view →
shRNA	920	LUNG_NSCLC_LUAD (139)	view →