GenerativeProteomics Code

In this section, we will provide a more detailed explanation of the classes used in GenerativeProteomics. As mentioned before in the Architecture section, GenerativeProteomics is composed of six main classes responsible for different tasks in the processing and imputation of large proteomics datasets.

• Data Class
  • Attributes
  • Methods
• Params class
  • Attributes
  • Methods
• Network Class
  • Attributes
  • Methods
• Metrics Class
  • Attributes
  • Methods
• GenerativeProteomics Class
  • Methods
• Utils Class
  • Functions
• Imputation Manager Class
  • Attributes
  • Methods