Supplementary Figure 1: CellNet classification of erythroid microarrays. | Nature Biotechnology

Supplementary Figure 1: CellNet classification of erythroid microarrays.

From: A systems biology pipeline identifies regulatory networks for stem cell engineering

Supplementary Figure 1

(a) Classification probability of hspc and erythroid microarrays using the original release of human CellNet. (b) CellNet classification of HSPC (n=127) and erythroid (n=164) microarrays by Random Forest (partitioned at 50% training/testing, 2-fold cross-validation) and classifier specificity (false positive rate of 5%) after training an erythroid GRN. (c) Status of the HSPC and erythroid GRNs across all cell types. GATA2 and GATA1 (d) expression and (e) first order networks associated with the HSPC (blue) and erythroid (red) GRNs, with overlapping genes annotated in green. (f) Enriched biological processes (gene ontology) within the entire erythroid GRN (235 genes) and the first order networks associated with each of the erythroid TFs. (g) overlap between cell and tissue specific GRNs (h) Classification probability (i) GRN establishment and (j) network influence score (NIS) for a subset of microarrays derived from sorted populations corresponding to temporal stages of differentiation (CFU-E, ProE, IntE, LateE). For this analysis, the classified arrays were excluded from the training data.

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