File:Linking-Human-Diseases-to-Animal-Models-Using-Ontology-Based-Phenotype-Annotation-pbio.1000247.g005.jpg
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DescriptionLinking-Human-Diseases-to-Animal-Models-Using-Ontology-Based-Phenotype-Annotation-pbio.1000247.g005.jpg |
English: Each of the four panels shows one of the four similarity measurements, comparing the score for alleles of the same gene (intra, in black) versus alleles of all other genes (inter, in gray), for each of the 11 OMIM genes annotated. The average of all 11 OMIM gene comparisons for each similarity metric are shown in the grayed portion of the graph on the right. Metrics are (as described in Figure 4): (A) simIC, (B) simJ, (C) ICCS, and (D) maxIC. For each metric, there was a significantly higher similarity value (p<0.0001) for the intra-genic comparisons as compared to the inter-genic comparisons. Significance was tested using a two-tailed Student's t-test, for the pairwise comparison (intra versus inter) for all four metrics for each gene. Error bars are standard error of the mean. |
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Source | Image file from Washington N, Haendel M, Mungall C, Ashburner M, Westerfield M, Lewis S (2009). "Linking Human Diseases to Animal Models Using Ontology-Based Phenotype Annotation". PLOS Biology. DOI:10.1371/journal.pbio.1000247. PMID 19956802. PMC: 2774506. | |||
Author | Washington N, Haendel M, Mungall C, Ashburner M, Westerfield M, Lewis S | |||
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current | 18:30, 12 September 2014 | 469 × 1,099 (138 KB) | Recitation-bot (talk | contribs) | Automatic upload of media from: doi:10.1371/journal.pbio.1000247 |
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