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jeremyjyang

Jeremy Yang

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Health Facts HbA1c
TINX: Diabetes mellitus
TINX: Parkinson's Disease
TIN-X test
UMLS concepts in common, for DO linked concepts
Counts of associations via UMLS for these sources: HPO, ICD9CM, ICD10CM, MedDRA, MeSH, OMIM, SNOMEDCT
Giant gene tissue funcnet size heatmap, IDG genes
Values are log10(n_nodes) in functional network for each gene-tissue pair, with minimum edge weight 0.5. n_genes = 1372, n_tissues = 145.
Badapple formula
IDG text mining: Diseases
JensenLab vs Pubtator scores, PubMed NER, only those diseases where DO to MeSH mapping available and both scores are nonzero. DO hierarchy level is depth from root "disease", DOID:4.
IDG text mining: Diseases
DO and MeSH levels. DO level is depth from root "disease", DOID:4. MeSH level is number of fields in "Tree Number". Note that some treenums not available, hence level 0. This is due to MeSH non-disease supplementary IDs mapped to diseases, not included here.
IDG text mining: Diseases
JensenLab vs Pubtator scores, PubMed NER, only those diseases where DO to MeSH mapping available and both scores are nonzero. MeSH hierarchy level is number of fields.
IDG text mining: Diseases
JensenLab vs Pubtator scores, PubMed NER. CAVEAT: This pie chart is FUNDAMENTALLY FLAWED due to the hierarchical nature of DO and MeSH disease terms, since the meaning of counts and the information content of each NER depends on the level.
IDG text mining: Genes
Pubtator vs JensenLab, gene-PubMed NER analysis. Both datasets downloaded August 2016, mapped to TCRD v3.0.7 (September 2016).
IDG text mining: Genes
Pubtator vs JensenLab, gene-PubMed NER analysis. Both datasets downloaded August 2016, mapped to TCRD v3.0.7 (September 2016).
IDG text mining: Genes
Pubtator vs JensenLab, gene-PubMed NER analysis. Both datasets downloaded August 2016, mapped to TCRD v3.0.7 (September 2016).
IDG text mining: Genes
Pubtator vs JensenLab, gene-PubMed NER analysis. Both datasets downloaded August 2016, mapped to TCRD v3.0.7 (September 2016).