What are the Limitations of Scanpy in Cancer Research?
While Scanpy is a powerful tool, it is not without limitations:
Computational Resources: Analysis of large scRNA-seq datasets requires substantial computational resources, which can be a limiting factor for some research groups. Data Interpretation: The results generated by Scanpy, such as clustering and differential expression analysis, require careful interpretation and validation through additional experiments. Complexity of Cancer Biology: The complexity of cancer biology means that results from scRNA-seq analysis need to be integrated with other data types and contextualized within the broader biological and clinical setting.
