Data manipulation in the context of cancer research refers to the processes of cleaning, transforming, and analyzing data to extract meaningful insights. These processes are crucial for understanding cancer's mechanisms, developing effective treatments, and improving patient outcomes. Data manipulation can involve a variety of techniques, including statistical analysis, machine learning, and bioinformatics.