Research Paper Volume 15, Issue 24 pp 15340—15359

Figure 11. Transcription factor prediction of CAFs subtypes. (A) Ranking of transcription factors of type1 cells based on transcription factor specificity score (RSS); (B) Highlighting type1 in the t-SNE plot (indicated by red dots); (C) Binary conversion of transcription factor activity scores for transcription factors with higher RSS TCF21 (Z-Score normalization for all samples with a 2.5 dividing line to convert values to 0 and 1), highlighting in t-SNE plots (indicated by green dots); (D) Ranking of transcription factors of type2 cells based on transcription factor specificity score; (E) Highlighting type2 in the t-SNE plot (indicated by red dots); (F) Binary conversion of transcription factor activity scores for transcription factors with higher RSS ZC3H11A, highlighting in t-SNE plots (indicated by green dots); (G) Ranking of transcription factors of type3 cells based on transcription factor specificity score; (H) Highlighting type3 in the t-SNE plot (indicated by red dots); (I) Binary conversion of transcription factor activity scores for transcription factors with higher RSS MYEF2, highlighting in t-SNE plots (indicated by green dots); (J) Co-expression results of TCF21 and its target genes in different GEO datasets retrieved using SEEK.; (K) Co-expression results of ZC3H11A and its target genes in different GEO datasets retrieved using SEEK; (L) Co-expression results of MYEF2 and its target genes in different GEO datasets retrieved using SEEK. The x-axis represents different datasets and the y-axis represents the statistical significance of the correlation between target genes in each dataset. Functionally related and significantly correlated (p < 0.01) datasets are indicated by yellow dots.