Fingerprinting module

The first ever sihnpy module: the fingerprinting module. The documentation first introduces the concept of fingerprinting. Then, a step-by-step example is presented for users.

• Introduction to fingerprinting
  • Rationale
  • Definitions
  • Data type
  • Use cases and limitations
  • Logistical considerations
  • References
• Fingerprinting analysis - Matrix-like data: Step-by-step
  • 1. Preparing the data
  • 2. Importing the data for fingerprinting
  • 3. Create a “fingerprinting object”
  • 4. File and subject selection
  • 5. Fingerprinting
  • 6. Fingerprinting metrics
  • 7. Exporting the results
  • Conclusion
  • tl;dr
  • Advanced topic: Command line-based script for fingerprinting and high performance computing
  • References
• Fingerprinting analysis - Tabular data: Step-by-step
  • Preparing the data
  • Fingerprinting steps
    • 1. Importing and cleaning the data
    • 2. Fingerprinting tabular data
    • 3. Computing fingerprinting metrics
    • 4. Exporting the results
  • Conclusion
  • tl;dr
  • References