PESM

The software tool 'PESM' introduces a method for predicting the essentiality of microRNAs (miRNAs) in complex diseases. Leveraging gradient boosting machines and miRNA sequences, PESM extracts both sequence and structural features of miRNAs to enhance prediction accuracy. Through a 5-fold cross-validation, the method demonstrates superior performance, evaluated by metrics such as the area under the receiver operating characteristic curve (AUC), F-measure, and accuracy (ACC). Comparative analysis with three other methods, including miES, Gaussian Naive Bayes, and Support Vector Machine, confirms PESM's effectiveness, with notable achievements in AUC (0.9117), F-measure (0.8572), and ACC (0.8516).