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Gobert

Developed by MM-YY-WW
GoBERT is a model specifically designed for general gene function prediction. It can effectively capture the relationships between Gene Ontology (GO) functions by leveraging gene ontology graph information.
Downloads 479
Release Time : 4/22/2025

Model Overview

This model is the first encoder capable of capturing the relationships between GO functions and can generate GO function embeddings for various biological applications related to genes or gene products.

Model Features

Capture GO function relationships
The first encoder capable of capturing the relationships between Gene Ontology (GO) functions.
General gene function prediction
Generate GO function embeddings for various biological applications related to genes or gene products.

Model Capabilities

Gene function prediction
Generate GO function embeddings

Use Cases

Bioinformatics
Gene function annotation
Predict the functions of genes or gene products
Provide accurate GO function annotations
Biomedical research
Assist in the analysis of gene functions in biomedical research
Improve the accuracy of gene function prediction
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