Research Paper Advance Articles

Figure 2. Construction and evaluation of a predictive model for disease onset. (A) A co-expression analysis was executed to explore the intricate interplay between genes associated with disulfidptosis and pivotal lncRNAs, forming the cornerstone of our model. (B) Univariate Cox analysis was employed to pinpoint differentially expressed lncRNAs and assess their correlation with high- and low-risk cohorts. (C) Utilizing the LASSO algorithm, integrated with 10-fold cross-validation, we identified the most significant lncRNAs linked to disulfidptosis. (D) The coefficients obtained from the LASSO algorithm were scrutinized to establish the foundation for our predictive disease model. (E) A correlation heatmap was generated to delve deeper into the intricate relationships between the selected lncRNAs and disulfidptosis-related genes. (F) Subsequent analysis of the interconnections among the chosen lncRNAs provided valuable insights into the underlying mechanisms of disulfidptosis.