Figure S5. Heat map of diseaseâcell-type associations identified by the GSC method between 73 cell types and 196 diseases. The darker the shade of green, the stronger the association. P values have been corrected for multiple testing using the BenjaminiâHochberg procedure. Cell types and diseases have been clustered using complete-linkage hierarchical clustering and reordered accordingly. (PDF 2960 kb
Figure S8. The proportion of disease窶田ell-type associations identified by the GSC and GSO methods su...
Table S1. Diseaseâgene associations extracted from DisGeNET used in the analyses. DISEASE: Name of...
Table S2. Mappings from each of the FANTOM5 project primary cell-type samples to its facet, sub-face...
Table S5. Diseaseâcell-type association P values computed using the GSC method. (XLS 686 kb
Figure S9. Histograms showing the proportions of disease-associated cell types identified by one met...
Table S10. Diseaseâcell-type association P values computed using the GSO method. (XLS 686 kb
Figure S6. Heat map comparing the disease–cell-type associations identified by the GSC method and te...
Figure S7. Venn diagrams of the diseaseâcell-type associations (A) supported and (B) not supported...
Table S11. Disease-associated cell types identified by the GSO method with an FDR of 10 %. DISEASE: ...
Figure S1. Disease-manifesting cell-type-based diseasome. Created by connecting each disease to the ...
Table S9. Diseaseâcell-type association P values computed using the text-mining method. (XLS 438 k...
Table S4. Performance of the GSC method when applied to sets of diseases with different numbers of a...
Figure S3. Disease-manifesting cell-type-based diseasome. Created by connecting each disease to the ...
Table S12. The number of diseaseâcell-type associations identified by the GSC and GSO methods supp...
Table S3. Performance of the GSC method when applied to interactomes created using various confidenc...
Figure S8. The proportion of disease窶田ell-type associations identified by the GSC and GSO methods su...
Table S1. Diseaseâgene associations extracted from DisGeNET used in the analyses. DISEASE: Name of...
Table S2. Mappings from each of the FANTOM5 project primary cell-type samples to its facet, sub-face...
Table S5. Diseaseâcell-type association P values computed using the GSC method. (XLS 686 kb
Figure S9. Histograms showing the proportions of disease-associated cell types identified by one met...
Table S10. Diseaseâcell-type association P values computed using the GSO method. (XLS 686 kb
Figure S6. Heat map comparing the disease–cell-type associations identified by the GSC method and te...
Figure S7. Venn diagrams of the diseaseâcell-type associations (A) supported and (B) not supported...
Table S11. Disease-associated cell types identified by the GSO method with an FDR of 10 %. DISEASE: ...
Figure S1. Disease-manifesting cell-type-based diseasome. Created by connecting each disease to the ...
Table S9. Diseaseâcell-type association P values computed using the text-mining method. (XLS 438 k...
Table S4. Performance of the GSC method when applied to sets of diseases with different numbers of a...
Figure S3. Disease-manifesting cell-type-based diseasome. Created by connecting each disease to the ...
Table S12. The number of diseaseâcell-type associations identified by the GSC and GSO methods supp...
Table S3. Performance of the GSC method when applied to interactomes created using various confidenc...
Figure S8. The proportion of disease窶田ell-type associations identified by the GSC and GSO methods su...
Table S1. Diseaseâgene associations extracted from DisGeNET used in the analyses. DISEASE: Name of...
Table S2. Mappings from each of the FANTOM5 project primary cell-type samples to its facet, sub-face...