Q-omics provides the consensus-scored NOTCH2NLR profile across patient tissues and cancer cell-line models. Additionally, NOTCH2NLR RNA expression shows 5,025 significant protein co-abundance associations, with the highest sampling consensus in LUAD.

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 NOTCH2NLR in patient tissues and cancer cell lines. In patient samples, NOTCH2NLR shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, NOTCH2NLR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	5,025	LUAD (1323)	view →
Function (mass-spec)	370	LUAD (76)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼shRNA
RNA	1,931	SOFT_TISSUE (320)	view →
shRNA	1,778	LUNG_SCLC (206)	view →