What Are the Challenges of scRNA-seq in Cancer Research?
Technical Complexity: The process of isolating and sequencing single cells is technically challenging and requires specialized equipment. Data Analysis: The massive volume of data generated necessitates sophisticated computational tools and expertise in bioinformatics. Cost: Although costs are decreasing, scRNA-seq remains an expensive technique, limiting its widespread use. Data Interpretation: The biological relevance of findings needs careful interpretation, often requiring validation through additional experiments.
