Limma is applied in various ways in cancer research:
Identification of Biomarkers: By analyzing gene expression data from cancerous and normal tissues, researchers can identify potential biomarkers for early detection and prognosis. Drug Response Studies: Limma can be used to analyze the gene expression changes in response to drug treatments, helping in the identification of potential therapeutic targets. Tumor Classification: Gene expression profiles analyzed using limma can help in classifying different types of tumors, aiding in personalized treatment strategies. Pathway Analysis: Limma can be used in conjunction with other tools to perform pathway analysis, providing insights into the biological pathways affected in cancer.
