Researchers identify anomalies by comparing study results against established baseline data or expected outcomes. Statistical analysis is a common method to detect outliers, which may indicate anomalous results. Repeating experiments and ensuring rigorous quality control measures can help confirm whether an observation is indeed an anomaly. Advanced techniques, such as omics technologies and computational modeling, are also employed to uncover unexpected patterns in complex biological data.
