pg-sui
pg-sui is a Python package and machine learning API for imputing missing genotypes. It provides unsupervised machine and deep learning methods, including neural-network-based approaches, for population genetics workflows.
Overview
6 featurespg-sui sits in PulseGate's Other data science & ML category. It focuses on imputing missing genotype data for population genetics and machine learning workflows. It is built as an open-source project for population geneticists and machine learning researchers. It ships for the command line and API, and it can be self-hosted.
btmartin721 builds and maintains pg-sui, and it first shipped in 2019. The project is developed in the open on GitHub with 7 commits in the last 90 days. Key capabilities include genotype imputation, neural networks, and autoencoders.
Summary written by a language model from the project’s public pages.
- Genotype imputation
- Neural networks
- Autoencoders
- Variational autoencoders
- Unsupervised learning
- Population genetics
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about pg-sui
- What is pg-sui?
- Pg-sui focuses on imputing missing genotype data for population genetics and machine learning workflows. It is catalogued under Other data science & ML on PulseGate.
- Who is pg-sui for?
- pg-sui is an open-source project built for population geneticists and machine learning researchers.
- What platforms does pg-sui run on?
- pg-sui runs on the command line and API. It can also be self-hosted.
- Is pg-sui still active?
- The GitHub repository shows 7 commits in the last 90 days.
- What are alternatives to pg-sui?
- Similar projects tracked by PulseGate include Welcome to FOSCAT’s documentation!, xleda, and tmviz.Welcome to FOSCAT’s documentation!xledatmviz
- Who develops pg-sui?
- pg-sui is developed by btmartin721.
- How long has pg-sui been around?
- pg-sui first shipped in 2019.
- Is pg-sui open source?
- pg-sui has a public GitHub repository.
Also in Other data science & ML
Same category — not a similarity match