GenerativeProteomics documentation

GenerativeProteomics is a work that was developed to address the problem of missing data in the field of proteomics.

Contents:

• Introduction
  • What is GenerativeProteomics?
  • Why was it created ?
• Installation
  • Using a pip command
  • GitHub
• How to use GenerativeProteomics
• Architecture
  • Overview
  • Execution Flow
• GenerativeProteomics Code
  • 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
• Tests
  • Test Coverage
  • Test_generate_reference
  • Test_hint_generation
  • Test_hyper
  • Test_imputation_with_reference
  • Test_impute_no_reference