Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability

Yuan Du; Shuqin Jian; Xicheng Wang; Chao Yang; Hua Qiu; Kang Fang; Yehong Yan; Jun Shi; Jianfeng Li

doi:doi:10.18632/aging.204775

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Research Paper

Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability

Figure 3. Machine learning constructs model for predicting the regeneration-related hepatocytes. (A) Lasso algorithm for selection features for regeneration-related hepatocytes. (B) Coefficient changes of the selected features using lasso algorithm. (C) Bootstrap algorithm for internal validation of the constructed model. (D) Machine learning algorithms for building the regeneration-related hepatocyte model. Seven machine learning algorithms were used in the mlr3verse (version 0.2.7) package in R (https://CRAN.R-project.org/package=mlr3verse). (E) ROC values of all seven algorithms were showed in training cohort. (F) ROC values of the SVM model in test cohort.