There are 1 repository under phenotype-prediction topic.
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
Package to serve public and freely-available data from rare disease patients.
Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn
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
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
Topological optimization for continuous phenotype mapping. When you have cross-reactivity or binding affinity measurements between some pairs of items in the data, with even large proportions of missing data, use Topolow to find the full coordinates of all items, in a space with optimal dimensionality.
Indonesia Exome Rare Disease Variant Discovery Pipeline. Phenotype analysis part available on Streamlit and PyPi
Apply AI-based trait prediction from BacDive to your own genomes.
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
MicrobeLLM is a Python tool that harnesses the power of large language models (LLMs) for microbial phenotype prediction.
Comp Bio fall 2017 project