There are 1 repository under phenotype-prediction topic.
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 comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
Indonesia Exome Rare Disease Variant Discovery Pipeline. Phenotype analysis part available on Streamlit and PyPi
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
A class based on COBRApy to handle quantitative mutations on metabolic models.
Bayesian Network Model Predicting Personal Phenotypes using Genome-Sequencing Data
Phenotype prediction pipeline
Joint Repository of GR Metrics Regression and Kinase Interaction Network (KIN) Clustering
Comp Bio fall 2017 project