liyu95/Deep_learning_examples
Examples of using deep learning in Bioinformatics
This project provides practical examples for applying deep learning methods to common tasks in bioinformatics. It takes various biological data types, such as DNA sequences, protein interaction networks, or medical images, and uses deep learning models to predict properties, analyze sequences, or aid in diagnosis. This is ideal for bioinformaticians, biologists, and researchers who want to leverage advanced computational techniques to analyze complex biological data.
447 stars. No commits in the last 6 months.
Use this if you are a bioinformatician or biologist looking for concrete examples to apply deep learning to sequence analysis, protein prediction, image-based diagnosis, or interaction networks.
Not ideal if you are looking for a plug-and-play tool for general machine learning tasks outside of bioinformatics, or if you need to build models from scratch without guidance.
Stars
447
Forks
132
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 23, 2024
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