What are the Challenges in Feature Extraction for Cancer?
Despite its importance, feature extraction in cancer research is fraught with challenges:
High Dimensionality: Genomic and proteomic data often have thousands of variables, making it difficult to isolate relevant features. Data Heterogeneity: Combining data from different sources (e.g., imaging, genomics) requires sophisticated integration techniques. Quality and Consistency: Variability in data quality and inconsistent data collection methods can complicate feature extraction.
