Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, Abraham Ayodeji Adegboro, Deborah Oluwatosin Fasoranti, Luohuan Dai, Zhouyang Pan, Hongyi Liu, Yi Xiong, Wang Li, Kang Peng, Siyi Wanggou, Xuejun Li
The paper introduces Mime, an R package for building and visualizing machine learning models to predict clinical outcomes and select features using transcriptional data.
Computational and Structural Biotechnology Journal · Jun 29, 2024Peer-reviewedBioinformatics