Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis
Fig 5
Evaluation of SSC workflows by key genes identification on Chu-time single-cell gene expression dataset.
(A) Introduction of the Chu-time dataset. This dataset comes from a study of developmental biology and contains 758 cells within six time points (0 h, 12 h, 24 h, 36 h, 72 h, and 96 h) along the differentiation process from human embryonic stem cells to definitive endoderm cells. (B)–(F) The usage of four sample-specific network construction methods in identifying the cell clusters, i.e. cell types/states. (G) Detection of a group of genes with significant expression changes along the multiple time points as determined by SCPattern method.