In the context of cancer research, background noise refers to the extraneous data or signals that can obscure or confound the results of an experiment or clinical study. This noise can arise from various sources, including genetic variability, environmental factors, and technical artifacts during data collection and analysis. Understanding and mitigating background noise is crucial for accurately identifying cancer biomarkers and developing effective treatments.
