IOAT: an interactive tool for statistical analysis of omics data and clinical data

摘要

The software operation process taking master lung cancer as an examples: Step 1 read and preprocess data; Step 2 feature selection of Univiarate Cox model: Hierarchical clustering heat map and correlation coefficient figure; Step 3 feature selection of Multiviarate Lasso model: Lasso path map and Mean square error graph; Step 4 risk assessment: the selected features are used for risk assessment to predict the survival rate of patients, and the effect of the model is evaluated through td-ROC curve and c-index. Step 5 KMeans cluster: the graph between the correlation coefficient and the K value; Step 6 Survival analysis: chart with the system selecting the optimal K value and the user setting the K value