hda4satl
Heterogeneous Domain Adaptation for Species-Agnostic Transfer Learning
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (4.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Heterogeneous Domain Adaptation for Species-Agnostic Transfer Learning
Basic Info
- Host: GitHub
- Owner: iron-lion
- License: mit
- Language: Python
- Default Branch: main
- Size: 287 MB
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created almost 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.md
HDA4SATL
Analysis code for 'Species-Agnostic Transfer Learning for Cross-species Transcriptomics Data Integration without Gene Orthology'.
This repository is a work in progress.
Reproducibility
Main analysis code is stored in a folder named 'hdaforsatl/' with a header, 'scenario_'.
You can find part of results here Master thesis work.
Dependencies
install CDSPP for Python
git clone https://github.com/iron-lion/cdspp-hda-py
cd ./cdspp-hda-py
pip install .
Acknowledgement
Owner
- Name: Youngjun Park
- Login: iron-lion
- Kind: user
- Location: Germany
- Website: https://www.linkedin.com/in/youngjun-park-bio
- Repositories: 3
- Profile: https://github.com/iron-lion
Ph.D. student. MS in Bioinformatics.
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