Precision Oncology: Deciphering Drug Sensitivity Through Multi-Omics Clustering and Machine Learning in Cancer Cell Lines

• Published in: 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET pp. 1 - 6
• Main Authors: Amjad, Sara, Aziz, M. Azhar, Sufyan Beg, M. M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.07.2024
• Subjects: Accuracy; Cancer; cancer cell lines; Drugs; k-means clustering; multi-omics; Oncology; Prediction algorithms; Predictive models; Proteomics; random forest; Random forests; Sensitivity; Transcriptomics

This study combines diverse omics datasets, including Proteomic, Transcriptomic, Genomic, Metabolomic and miRNA profiles from cancer cell lines, with Drug Sensitivity (AUC) data for 285 drugs. We used the k-means clustering algorithm to group cell lines based on multi-omics data. Drug sensitivity (A...