Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders
Fig 8
Enriched GO terms and top DEGs of GEPs in the lung fibroblast and myofibroblast cells.
(a) The top 10 enriched GO terms using upregulated DEGs in GEP 1. (b) The expression levels of the top 20 DEGs of GEP 1 covaried with the inferred usage of GEP 1. (c) The top 10 enriched GO terms using upregulated DEGs in GEP 2. (d) The expression levels of the top 20 DEGs of GEP 2 covaried with the inferred usage of GEP 2. (e) The op 10 enriched GO terms using upregulated DEGs in GEP 3. (f) The expression levels of the top 20 DEGs of GEP 3 covaried with the inferred usage of GEP 3. Top 20 genes in b, d and f were selected based on their z-scores. Cells in b, d and f were sorted by increasing order of the inferred cell usage of GEP 1, GEP 2 and GEP 3, respectively. Colors of cell types and disease groups in b, d and f are coded in the same way as colors in Fig 7a and 7b, respectively.