bio-ontology-research-group/ontology-tutorial
Ontology Tutorial
This tutorial helps computational biologists and bioinformaticians understand and apply biomedical ontologies for data analysis. It provides practical examples using Jupyter notebooks to demonstrate how to measure semantic similarity between biological entities and integrate ontologies into machine learning workflows. Researchers who work with large, structured biological datasets will find this useful for gaining deeper insights.
No commits in the last 6 months.
Use this if you are a researcher in computational biology or bioinformatics wanting to learn how to leverage biomedical ontologies for advanced data analysis and machine learning.
Not ideal if you are looking for a simple, non-technical introduction to biology or a tool that doesn't require familiarity with command-line interfaces and Jupyter notebooks.
Stars
73
Forks
18
Language
Jupyter Notebook
License
CC-BY-4.0
Category
Last pushed
Nov 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/bio-ontology-research-group/ontology-tutorial"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/huggingface_hub
The official Python client for the Hugging Face Hub.
huggingface/hub-docs
Docs of the Hugging Face Hub
huggingface/huggingface.js
Use Hugging Face with JavaScript
dice-group/Ontolearn
OWL Class Expressions Learning in Python
KRR-Oxford/DeepOnto
A package for ontology engineering with deep learning and language models.