LIPF

Across TCGA cell cohorts, LIPF RNA expression is significantly associated with the go_rna of many other GO terms, with 177 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible LIPF-associated GO terms across cancer lineages are Heat acclimation, Regulation of inflammatory response to wounding, and Peptidyl-cysteine modification. Each is linked with LIPF in more than 1 cancer types. Because this analysis shows association rather than direction, both LIPF-to-partner and partner-to-LIPF results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Heat acclimation grouped by LIPF-low versus LIPF-high in SOFT_TISSUE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (LIPF→partner) and Y-score (partner→LIPF) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
SOFT_TISSUE	Heat acclimation →	+0.131	+0.039	.001	.004	3	2
BLOOD_Lymphoma	Regulation of inflammatory response to wounding →	-0.111	-0.022	<.001	.001	3	2
BLOOD_Lymphoma	Peptidyl-cysteine modification →	+0.052	+0.019	.003	.009	3	2
BLOOD_Lymphoma	Negative regulation of cellular response to hypoxia →	+0.073	+0.019	<.001	.009	3	2
BLOOD_Lymphoma	Pentose metabolic process →	-0.104	-0.029	.006	.009	3	2
BLOOD_Lymphoma	Negative regulation of interleukin-1-mediated signaling pathway →	+0.118	+0.032	.002	.009	3	2

Each partner links to its Q-omics profile. Showing the 6 strongest of 177 associations by consensus.

Heat acclimation by LIPF expression — SOFT_TISSUE

Explore this box plot interactively →