Welcome to PG-SUI’s documentation!
Contents:
- About PG-SUI
- Installation
- PG-SUI Tutorial
- Overview
- What’s new
- How to run PG-SUI
- Model Families
- Installation
- Data Input, Encodings, and Conventions
- CLI Quickstart (copy/paste)
- Loading best parameters from a previous run
- Simulated missingness and evaluation
- Quick Start (End-to-End VAE Example)
- Using Presets Programmatically
- YAML Configuration Files
- Command-Line Interface (CLI)
- Minimal API Reference
- References
- Simulated Missingness and Evaluation
- Config Reference
- PG-SUI Desktop GUI
- Unsupervised Imputers
- ImputeAutoencoder
- ImputeVAE
- ImputeNLPCA
- ImputeUBP
- Optuna Hyperparameter Tuning
- Deterministic (non-Machine Learning) Imputers
- Supervised Imputers
- Imputation Methods Implemented in PG-SUI
- Autoencoder Model for Genotype Data Imputation
- Variational Autoencoder (VAE) Model for Genotype Data Imputation
- Non-linear PCA (NLPCA) Model for Genotype Data Imputation
- Unsupervised Backpropagation (UBP) Model for Genotype Data Imputation
- IterativeImputer and the MICE Algorithm
- Further Reading
- Conclusion
- Tutorial: Implementing New Imputation Models
- pgsui
- Changelog
- v1.7.8 - 2026-02-15
- v1.7.7 - 2026-02-03
- v1.7.6 - 2026-02-02
- v1.7.4 - 2026-01-20
- v1.7.3 - 2026-01-19
- v1.7.2 - 2026-01-19
- v1.7.1 - 2026-01-17
- v1.7.0 - 2026-01-08
- v1.6.28 - 2025-12-24
- v1.6.27 - 2025-12-23
- v1.6.26 - 2025-12-22
- v1.6.25 - 2025-12-21
- v1.6.24 - 2025-12-17
- v1.6.23 - 2025-12-17
- v1.6.22 - 2025-12-14
- 1.6.21 - 2025-12-09
- v1.6.14 to v1.6.20
- 1.6.14-alpha - 2025-12-05
- 1.6.12 - 2025-11-28
- 1.6.11 - 2025-11-21
- 1.6.10 - 2025-11-20
- 1.6.9 - 2025-10-29
- 1.6.8 - 2025-10-27
- 1.6.4 - 2025-10-26
- 1.6.3 - 2025-10-25
- 1.6.2 — 2025-10-04
- 1.6.1 — 2025-10-04
- 1.6.0 — 2025-09-23
- 1.5.2 — 2025-03-01
- 1.5.1 — 2025-02-07
- 1.5 — 2025-01-28
- 1.0.2.1 — 2023-09-11
- 1.0.2 — 2023-08-28
- 1.0 — 2023-07-29
- 0.3.0 — 2023-07-26
- 0.2.4 — 2023-07-24