چکیده مقاله
Lung adenocarcinoma LUAD ranks among the most common forms of lung cancer and a leading cause of cancer deaths worldwide Identifying critical biological pathways in its early and late stages could improve diagnosis and treatment strategies This study used computational approaches to uncover key mRNAs and related pathways in early and late stage LUAD We downloaded RNA seq and clinical data for LUAD from the TCGA repository via the GDC portal After preprocessing, including mapping files to cases, filtering protein coding genes, averaging expressions, and joining with clinical data, we obtained 017 unique LUAD samples with 19,975 genes Excluding cases with unknown stages left 90 valid samples early stage I II , ° late stage III IV Preprocessing involved Z score normalization For feature selection, nested cross validation 1 fold outer, o fold inner with t tests p< , ° identified so differentially expressed genes NSGA II optimization, with self tuning for subset size k=9, AUC , selected 9 optimal mRNAs These mRNAs were evaluated using five classifiers SVM, NB, KNN, RF, DT in nested CV SVM performed best, achieving test accuracy of A, AUC of A, F score of ,, sensitivity of ,Y, and specificity of ,9 The 9 mRNAs mapped to 99 Reactome pathways via Ensembl BioMart Pathway scores were calculated as mean gene expressions, normalized, and discretized low/medium/high FP Growth association rule mining min support, lift , generated rules for early stage and late stage associations These findings highlight dysregulated pathways in LUAD progression, offering potential biomarkers and therapeutic targets to enhance patient outcomes
کلیدواژهها
نویسندگان
Zahra Ghasemlou
mohaghegh ardabili university
شیوه ارجاع
Ghasemlou, Zahra,1404,Deciphering Reactome-based Biological Pathways in Early and Late Stages of Lung Adenocarcinoma via Association Rule Mining and Genetic Optimization,The 8th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
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