Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: taehojo
- Language: Python
- Default Branch: master
- Size: 3.29 MB
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
c-SWAT: Circular-Sliding Window Association Test
Overview
The circular-Sliding Window Association Test (c-SWAT) is a novel deep learning approach that considers correlations between features, utilizing modules such as WGCNA (Weighted Gene Co-expression Network Analysis) to enhance classification prediction performance.

Requirements
- Python 3.6.10
- For other dependencies, check
requirements.txt.
Execution Examples
bash
python c-SWAT.py data/ADNI_norm.csv data/wgcna.txt data/classes.txt
Contact
For questions or support, please contact [tjo(at)iu.edu].
:bookmark: c-SWAT citation:
Jo, Taeho, et al. "Circular-SWAT for deep learning based diagnostic classification of Alzheimer’s disease: Application to metabolome data." eBioMedicine (accepted, 2023)
:bookmark: Example of SWAT application:
Jo, Taeho, et al. "Deep learning-based identification of genetic variants: application to Alzheimer’s disease classification." Briefings in Bioinformatics (2022)
Owner
- Name: Taeho Jo
- Login: taehojo
- Kind: user
- Location: Indiana, USA
- Company: Indiana University School of Medicine
- Website: https://taehojo.github.io
- Repositories: 4
- Profile: https://github.com/taehojo
Computational Biologist, Ph.D
Citation (citation.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Jo" given-names: "Taeho" orcid: "https://orcid.org/0000-0003-1765-5735" title: "Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data" version: 1.0.0 date-released: 2023-10-06 url: " https://www.github.com/taehojo/c-SWAT"
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