🔥 Medical Image Analysis 2025: Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond

phenotype-prediction 开源项目推荐(26 个)
phenotype-prediction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 26 个仓库easyPheno: a model agnostic phenotype prediction framework
MICCAI 2024: Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images and has been invited for an ORAL presentation (2.7%)🔥 and nominated for the Best Paper Award.
Apply AI-based trait prediction from BacDive to your own genomes.
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn
Package to serve public and freely-available data from rare disease patients.
Create binary traits for UKbio using ICD/OPER/medication/self reports/age of diagnosis/visit-dates etc). The current output includes variables on history, study visit, future, time-to-first-event, episode-duration. this is a starting point to construct your favorite trait in ukb. The code was written on the go, so not super clean code..
A physics-inspired R package for robust Euclidean embedding of sparse, non-metric dissimilarity data. Particularly powerful for antigenic cartography and viral evolution tracking, but applicable to any domain with incomplete similarity measurements. Published in *Bioinformatics* (2025).
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
IDeRare Phenotype Analysis suite : Convert Indonesia SATUSEHAT terminology (SNOMED-CT, LOINC, ICD-10) to Rare Disease Terminology / Ontology (HPO, OMIM) and find the likelihood differential gene and disease explaining patient phenotype
该项目在 GitHub 上没有填写描述
Relative adiponectin score (RAS) model
Indonesia Exome Rare Disease Variant Discovery Pipeline. Phenotype analysis part available on Streamlit and PyPi
Using machine learning to predict E. coli phenotypes
A class based on COBRApy to handle quantitative mutations on metabolic models.
Bayesian Network Model Predicting Personal Phenotypes using Genome-Sequencing Data
This project was part of the M2 Data Science at L'Institut Agro Rennes, in partnership with the INRAE BioForA unit/Comparison of variable selection strategies (MLM, FarmCPU, RF) for complex trait prediction. Analysis of biological signal orthogonality vs population structure via EMD distance.
MicrobeLLM is a Python tool that harnesses the power of large language models (LLMs) for microbial phenotype prediction.
PHEMALE-Bacteria: tool for prediction of bacterial phenotypes based on its genome
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/phenotype-prediction。
- 该话题在 GitHub 上共有 26 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 157 Star,覆盖 5 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。