phenotype-prediction

There are 19 repositories under phenotype-prediction topic.

  • transbioZI/BioMM

    BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data

    Language:HTML14301

  • grimmlab/easyPheno

    easyPheno: a model agnostic phenotype prediction framework

    Language:Python11315

  • foundation29org/RareCrowds

    Package to serve public and freely-available data from rare disease patients.

    Language:Python10697

  • univieCUBE/phenotrex

    Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn

    Language:Python10204

  • 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..

    Language:R6103

  • ann081993/ras

    Relative adiponectin score (RAS) model

    Language:R20

  • grimmlab/phenotype_prediction

    A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species

    Language:Jupyter Notebook2202

  • 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

    Language:Jupyter Notebook2100

  • robail-yasrab/RSML-to-Image

    Language:Python2210

  • ivanwilliammd/IDeRare

    Indonesia Exome Rare Disease Variant Discovery Pipeline. Phenotype analysis part available on Streamlit and PyPi

    Language:Jupyter Notebook1101

  • LeibnizDSMZ/bacdive-AI

    Apply AI-based trait prediction from BacDive to your own genomes.

    Language:Python1000

  • omid-arhami/topolow

    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.

    Language:R1
  • quantitative_mutations

    pyubero/quantitative_mutations

    A class based on COBRApy to handle quantitative mutations on metabolic models.

    Language:Jupyter Notebook1150

  • superphy/kmer

    Using machine learning to predict E. coli phenotypes

    Language:TeX1702

  • Yun-Ching-Chen/GIBI

    Bayesian Network Model Predicting Personal Phenotypes using Genome-Sequencing Data

    Language:Python1100

  • FloFlo93/PICA-to-go

    Phenotype prediction pipeline

    Language:Java0100

  • gomezlab/kinotypeClusteringAndRegression

    Joint Repository of GR Metrics Regression and Kinase Interaction Network (KIN) Clustering

    Language:Jupyter Notebook0100

  • GenomeNet/microbeLLM

    MicrobeLLM is a Python tool that harnesses the power of large language models (LLMs) for microbial phenotype prediction.

    Language:Python06

  • samanta-anupam/pheno-predictor

    Comp Bio fall 2017 project

    Language:Jupyter Notebook31