Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods

<div>The ring diagram to show the distribution of classification rules over three cell cycle phases, which are extracted from the DTs for the feature lists obtained by three feature ranking algorithms. (a) Rules on mRMR method. (b) Rules on MCFS method. (d) Rules on SHAP by LightGBM.</div>

BioMed Research International

fig7

Figure 7

Figure 7: Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods 