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. 2018 Apr 12;9:13. doi: 10.1186/s13326-018-0181-1

Table 5.

Exemplifying results for Experiment II: Top twelve ranked candidate terms (highest cosine similarity) from the word embeddings created with CBOW and Skip-gram using two terms as target: “OLR1” from the abstract of the PubMed article with ID = 22,738,689; and “oxidized_low-density_lipoprotein receptor_ 1” that is the CVDO protein class name (rdfs:label) for the CVDO class gene with name (rdfs:label) OLR1. Hence, the target term exploits the protein class expressions within the CVDO

CBOW Skip-gram
Rank Candidate terms from word embeddings Cosine Candidate terms from word embeddings Cosine
1 atherogenesis 0.469405 lectin-like_oxidized_low-density_lipoprotein 0.688603
2 atherosclerosis 0.465861 (LOX-1)_is 0.672042
3 CD36 0.439280 atherosclerosis_we_investigated 0.669050
4 LOX-1 0.424173 receptor-1 0.664891
5 atherosclerotic_lesion_formation 0.416537 lectin-like_oxidized_LDL_receptor-1 0.663988
6 vascular_inflammation 0.414620 lOX-1_is 0.660110
7 inflammatory_genes 0.411186 human_atherosclerotic_lesions 0.657075
8 atherosclerotic_lesions 0.405906 oxidized_low-density_lipoprotein_(ox-LDL) 0.655515
9 monocyte_chemoattractant_protein-1 0.398739 oxidized_low-density_lipoprotein_(oxLDL) 0.654965
10 plaque_destabilization 0.398201 (LOX-1) 0.652099
11 oxidized_low-density_lipoprotein_(oxLDL) 0.397967 proatherosclerotic 0.651571
12 atherosclerosis_atherosclerosis 0.396677 receptor-1_(LOX-1)_is 0.649000