NP-BERT is a method for identifying nucleosome positioning across 12 datasets. NP-BERT utilizes state of the art BERT models to learn features from the DNA sequences for nucleomse positioning predictions.
- General Info
- Tools Used
- Datasets
- Setup
- Results
- Usage
- Project Status
- Room for Improvement
- Acknowledgements
- Contact
- Provide general information about your project here.
- What problem does it (intend to) solve?
- What is the purpose of your project?
- Why did you undertake it?
- Python 3.6
- SLRUM if the automation of the training process is required.
- PSI-CD-HIT (if dataset similarity check is of interest)
List the ready features here:
- Awesome feature 1
- Awesome feature 2
- Awesome feature 3
What are the project requirements/dependencies? Where are they listed? A requirements.txt or a Pipfile.lock file perhaps? Where is it located?
Proceed to describe how to install / setup one's local environment / get started with the project.
How does one go about using it? Provide various use cases and code examples here.
write-your-code-here
Project is: in progress / complete / no longer being worked on. If you are no longer working on it, provide reasons why.
Include areas you believe need improvement / could be improved. Also add TODOs for future development.
Room for improvement:
- Improvement to be done 1
- Improvement to be done 2
To do:
- Feature to be added 1
- Feature to be added 2
Give credit here.
- This project was inspired by...
- This project was based on this tutorial.
- Many thanks to...
Created by @flynerdpl - feel free to contact me!