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

<div>Performance of the optimal classifiers on three different phases. The optimal classifiers based on random forest (RF) and support vector machine (SVM) have better classification performance than the optimal classifiers based on decision tree (DT) and k-nearest neighbor (KNN).</div>

BioMed Research International

fig3

Figure 3

Figure 3: Identification of Human Cell Cycle Phase Markers Based on Single-Cell RNA-Seq Data by Using Machine Learning Methods 