Results 171 to 180 of about 8,049,750 (250)
GeOKG: geometry-aware knowledge graph embedding for Gene Ontology and genes. [PDF]
Jeong CU, Kim J, Kim D, Sohn KA.
europepmc +1 more source
High‐density type I collagen promotes glutamine (Gln) accumulation–related ferroptosis of TNBC cells via the spermidine/spermine N1‐acetyltransferase 1 (SAT1)‐ argininosuccinate synthase (ASS1) signaling pathway, thus depriving immune cells of Gln supply and inducing IFN‐γ+ CD8+ T cell exhaustion in the TME.
Jinyan Wang +11 more
wiley +1 more source
An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning. [PDF]
Li H +5 more
europepmc +1 more source
Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong +8 more
wiley +1 more source
Credibility-based knowledge graph embedding for identifying social brand advocates. [PDF]
Abu-Salih B +4 more
europepmc +1 more source
A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases. [PDF]
Sosa DN +5 more
europepmc +1 more source
Hypertrophic scar fibroblasts membrane‐hybridized cationic transfersomes enable efficient loading and transdermal delivery of TGF‐β1 siRNA through multiple skin penetration pathways. The biomimetic platform enhances homotypic targeting, transfection, and immune evasion, suppresses TGF‐β1‐driven fibrotic signaling, and reduces extracellular matrix ...
Hui Xing +9 more
wiley +1 more source
Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics. [PDF]
Ni S +19 more
europepmc +1 more source
This study generates the single‐cell atlas of pathogenic B‐cell subset Bc‐5 in ITP. It identifies RUNX3 as a key survival regulator and uncovers sphingolipid‐driven metabolic reprogramming, validating UGCG inhibition as a therapeutic candidate and building a valuable resource for ITP mechanistic and therapeutic exploration.
Dongmei Luo +10 more
wiley +1 more source
Drug-target interaction prediction using knowledge graph embedding. [PDF]
Li N, Yang Z, Wang J, Lin H.
europepmc +1 more source

