sj-txt-4-evb-10.1177_11769343221075014 – Supplemental material for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method

Supplemental material, sj-txt-4-evb-10.1177_11769343221075014 for Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method by Hongwei Tang, Qingtian Han and Yong Yin in Evolutionary Bioinformatics

配套补充材料sj-txt-4-evb-10.1177_11769343221075014，出自唐宏伟、韩庆田、尹勇于《进化生物信息学》（Evolutionary Bioinformatics）发表的题为《采用套索回归算法（LASSO Regression Algorithm）与支持向量机（SVM）筛选外周血单个核细胞（Peripheral Blood Mononuclear Cells）关键标志物以预测女性骨质疏松风险》的研究论文。