The following publications are possibly variants of this publication:
- Principal Component Regression Analysis for lncRNA-Disease Association Prediction Based on Pathological Stage DataBo Wang 0062, Jing Zhang. access, 9:20629-20640, 2021. [doi]
- IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifierRong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai. bmcbi, 22(1):175, 2021. [doi]
- A random forest based computational model for predicting novel lncRNA-disease associationsDengju Yao, Xiaojuan Zhan, Xiaorong Zhan, Chee Keong Kwoh, Peng Li, Jinke Wang. bmcbi, 21(1):126, 2020. [doi]
- An Improved Goodness-of-Fit Test for Logistic Regression Models Based on Case-Control Data by Random PartitionXin Deng, Shuwen Wan, Biao Zhang. cssc, 38(2):233-243, 2009. [doi]