lipidoz
latest

Guides

  • Installation
    • From PyPI
    • From Source
    • Dependencies
  • Isotope Distribution Analysis
    • Inputs
    • Output
    • Examples
  • Graphical User Interface
    • Demonstration Data
    • Binary Executables
    • Setup Window
    • Processing Window
    • Results Window
  • Machine Learning
    • Model Training
      • Overview
      • Setup
      • Data Extraction
      • Preparing Data for ML Model Training
      • Training the DL Model
    • Model Inference
      • Setup
      • Data Extraction
      • Preparing Data for Inference
      • Performing Inference

API Reference

  • lipidoz.isotope_scoring
    • Structure of score_db_pos_isotope_dist_polyunsat Results
    • Module Reference
      • score_db_pos_isotope_dist_polyunsat()
      • score_db_pos_isotope_dist_targeted()
      • score_db_pos_isotope_dist_polyunsat_infusion()
  • lipidoz.workflows
    • Isotope Scoring Target List Format
    • Structure of LipidOz Results
    • Structure of run_isotope_scoring_workflow Results
    • Structure of run_isotope_scoring_workflow_infusion Results
    • Structure of collect_preml_dataset dataset
    • Module Reference
      • Isotope Distribution Analysis
        • run_isotope_scoring_workflow()
        • run_isotope_scoring_workflow_targeted()
        • run_isotope_scoring_workflow_infusion()
        • save_isotope_scoring_results()
        • write_isotope_scoring_report_xlsx()
      • Machine Learning
        • collect_preml_dataset()
        • convert_multi_preml_datasets_labeled()
        • convert_multi_preml_datasets_unlabeled()
      • Hybrid Workflow
        • hybrid_deep_learning_and_isotope_scoring()
  • lipidoz.ml
    • Module Reference
      • lipidoz.ml.data
        • load_preml_data()
        • load_ml_targets()
        • split_true_and_false_preml_data()
        • preml_to_ml_data()
        • get_dataloaders_for_ml()
      • lipidoz.ml.models
        • ML Model Base Class Methods
        • ResNet18 model
      • lipidoz.ml.view
        • plot_preml_example()
        • plot_ml_example()

Project Info

  • License
  • Disclaimer
  • Citing
  • Contributing
    • Feedback
    • Fixing Bugs or Implementing Features
    • Writing Documentation
      • Creating User Guides
    • Submitting a Pull Request
    • Versioning Scheme
    • Coding Style
      • Naming Conventions
      • Docstring Format
      • Adding Entries to Sphinx Documentation
lipidoz
  • lipidoz 1.1.8
  • Edit on GitHub

lipidoz 1.1.8

A Python utility for determination of lipid double bond position location from OzID data

Source code is available at https://github.com/PNNL-m-q/lipidoz

Guides

  • Installation
    • From PyPI
    • From Source
    • Dependencies
  • Isotope Distribution Analysis
    • Inputs
    • Output
    • Examples
  • Graphical User Interface
    • Demonstration Data
    • Binary Executables
    • Setup Window
    • Processing Window
    • Results Window
  • Machine Learning
    • Model Training
    • Model Inference

API Reference

  • lipidoz.isotope_scoring
    • Structure of score_db_pos_isotope_dist_polyunsat Results
    • Module Reference
  • lipidoz.workflows
    • Isotope Scoring Target List Format
    • Structure of LipidOz Results
    • Structure of run_isotope_scoring_workflow Results
    • Structure of run_isotope_scoring_workflow_infusion Results
    • Structure of collect_preml_dataset dataset
    • Module Reference
  • lipidoz.ml
    • Module Reference

Contributors

  • Dylan Ross (dylan.ross@pnnl.gov)

  • Aivett Bilbao (aivett.bilbao@pnnl.gov)

  • Joon-Yong Lee (junyoni@gmail.com)

  • Xueyun Zheng (xueyun.zheng@pnnl.gov)

Project Info

  • License
  • Disclaimer
  • Citing
  • Contributing
    • Feedback
    • Fixing Bugs or Implementing Features
    • Writing Documentation
    • Submitting a Pull Request
    • Versioning Scheme
    • Coding Style
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