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Cancer bioinformatics applies computational and statistical techniques to analyze and interpret complex biological data related to cancer. It involves integrating genomics, transcriptomics, proteomics, and clinical data to identify biomarkers, understand disease mechanisms, and develop personalized cancer therapies. Bioinformatics plays a crucial role in advancing cancer research and precision oncology.

  • Data Analysis Techniques
  • Genomic Data Integration
  • Computational Modeling
  • Drug Target Prediction
  • Clinical Decision Support