GenoPheno


Description
GenoPheno web-server allows genotype-phenotype-specific machine-learning modelings. The input genomic features to Geno2Pheno can be provided by Seq2Pheno or directly by the user. It offers a wide range of configurable predictive models, optimization metrics, and validation approaches (e.g., tree-based cross-validation). Geno2Pheno then generates detailed performance overviews, publication-quality visualizations, optimized predictive models, and phenotype-specific biomarkers.


Type
Software
Subtypes
Evaluation Tool
Focuses
Generally applicable

Topics
Data analysis

Contacts
 Prof. Dr. Alice McHardy
Prof. Dr. Alice McHardy

Helmholtz Centre for Infection Research

Deputy Coordinator Bioinformatics and Machine Learning

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User groups / addressees
Scientists

keywords
Analyses


Preview image
Platzhalter No preview image

File type
webpage