seqcode/cross-species-domain-adaptation
Codebase for the domain adaptation (cross-species TF binding prediction) project.
This project helps biological researchers predict where transcription factors (TFs) bind in a new species when they only have training data from a different species. You provide called peak files (genomic regions where TFs bind) from a well-studied species like mouse, and the project outputs predictions for TF binding locations in a less-studied species like human. This is useful for geneticists, molecular biologists, and computational biologists studying gene regulation across different organisms.
No commits in the last 6 months.
Use this if you need to reliably predict transcription factor binding sites in a target species, but your experimental data is limited to a related, well-characterized species.
Not ideal if you have extensive experimental data for transcription factor binding in the exact species you want to study, as simpler models might suffice.
Stars
12
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 29, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/seqcode/cross-species-domain-adaptation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers,...
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
KaiyangZhou/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.