Advances in technologies such as next-generation sequencing (NGS), single-cell RNA sequencing, and bioinformatics tools enable the detailed analysis of heterogeneous data. These technologies help identify genetic mutations, cellular compositions, and molecular pathways involved in cancer. However, the high volume and complexity of data generated also require sophisticated computational methods for analysis and interpretation.
