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The rapid improvement of next-generation sequencing (NGS) technologies and their application in large-scale cohorts in cancer research led to common challenges of big data. It opened a new research area incorporating systems biology and machine learning. As large-scale NGS data accumulated, sophisticated data analysis methods became indispensable. In addition, NGS data have been integrated with systems biology to build better predictive models to determine the characteristics of tumors anddoi:10.3390/cancers13133148 pmid:34202427 pmcid:PMC8269018 fatcat:te73wenebne4hkc5p77m2ry7em