Run a brief analysis at the single-cell level, let’s use the common Seurat pipeline. set.seed(12345) sc <- CreateSeuratObject(counts = sc.counts, project = proj.name, meta.data = sc.meta) sc ## An ...

S12 Fig. Expression of marker genes associated with cell types or state. (A-D) Violin plot highlighting the level of expression of (A) PIWL1, (B) YAP1, (C) HES1, and (D) SAA1 across clusters. S13 Fig.

We deleted SAA (D3DQX7) as the sequence was very similar to SAA1 and SAA2. The importance of proteins was calculated using the build-in function “feature_importances_”, which provides the ...

A correlation analysis of all protein level change relative to DOL0 (Figure 4) revealed several clusters of proteins with similar trajectories, including a hemoglobin (Hb) cluster and an acute phase ...