What is MammaPrint

This chapter explores the pivotal intersection of DNA microarrays and machine learning within the area of cancer research. It underscores the principal significance of gene expression profiling as a cornerstone for precise cancer diagnosis and the development of personalized treatment protocols. This chapter thoroughly examines the intricacies inherent in gene expression data analysis, encompassing challenges related to noise and the formidable task of dealing with a vast array of genes in relation to the limited available samples. Furthermore, it highlights the transformative potential of machine learning in propelling the evolution of oncological decision support systems, providing clinicians and researchers with the tools to make informed, data-driven decisions. In summary, this chapter elucidates how the synergistic integration of DNA microarrays and machine learning is reshaping the landscape of cancer research and healthcare, offering a promising future characterized by heightened diagnostic accuracy and tailored therapeutic interventions.