phenotype-prediction
There are 16 repositories under phenotype-prediction topic.
transbioZI/BioMM
BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
grimmlab/easyPheno
easyPheno: a model agnostic phenotype prediction framework
univieCUBE/phenotrex
Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn
foundation29org/RareCrowds
Package to serve public and freely-available data from rare disease patients.
niekverw/ukpheno
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..
grimmlab/phenotype_prediction
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species
ivanwilliammd/IDeRare
Indonesia Exome Rare Disease Variant Discovery Pipeline. Phenotype analysis part available on Streamlit and PyPi
ivanwilliammd/iderare-pheno
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
pyubero/quantitative_mutations
A class based on COBRApy to handle quantitative mutations on metabolic models.
superphy/kmer
Using machine learning to predict E. coli phenotypes
Yun-Ching-Chen/GIBI
Bayesian Network Model Predicting Personal Phenotypes using Genome-Sequencing Data
FloFlo93/PICA-to-go
Phenotype prediction pipeline
gomezlab/kinotypeClusteringAndRegression
Joint Repository of GR Metrics Regression and Kinase Interaction Network (KIN) Clustering
GenomeNet/microbeLLM
MicrobeLLM is a Python tool that harnesses the power of large language models (LLMs) for microbial phenotype prediction.
samanta-anupam/pheno-predictor
Comp Bio fall 2017 project