fedsa_public
Field Effect Detection by Spectral Analysis, FEDSA, public repository.
Science Score: 67.0%
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
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.9%) to scientific vocabulary
Repository
Field Effect Detection by Spectral Analysis, FEDSA, public repository.
Basic Info
- Host: GitHub
- Owner: davidalejandromiranda
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 2.32 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
fedsa_public
This project showcases the data processing techniques employed in Field Effect Detection by Spectral Analysis (FEDSA). The experimental data obtained from particles in suspension is treated as dynamic light scattering data to estimate particle sizes. By analyzing the power spectra data in different frequency bands, we investigate the potential of predicting the risk of cancer. The Jupyter Notebook titled data_processing.ipynb allows users to visualize the experimental data and explore the multivariate analysis and logistic regression modeling of power spectrum bands. This repository complements the associated research paper and provides a comprehensive overview of the methodology and findings of the study.
How to cite this work?
David Alejandro Miranda Mercado (2023). davidalejandromiranda/fedsa_public: Exploring the breast cancer risk detection by dynamic light scattering (v1.0). Zenodo. https://doi.org/
DOI
BibTeX
@software{Miranda2023,
author = {David A. Miranda},
title = {davidalejandromiranda/fedsa_public: Exploring the breast cancer risk detection by dynamic light scattering},
month = jul,
year = 2023,
publisher = {Zenodo},
version = {v1.0},
doi = {},
url = {[https://doi.org/10.5281/zenodo.8200226](https://doi.org/10.5281/zenodo.8200226)}
}
Licence
This work is under the MIT license.
Owner
- Name: David Alejandro Miranda Mercado
- Login: davidalejandromiranda
- Kind: user
- Location: Bucaramanga, Colombia
- Company: kGuatiguara
- Website: https://guatiguara.co
- Repositories: 3
- Profile: https://github.com/davidalejandromiranda
https://orcid.org/0000-0003-3130-3314
Citation (CITATION.cff)
cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Miranda-Mercado
given-names: David Alejandro
orcid: "https://orcid.org/0000-0003-3130-3314"
title: "davidalejandromiranda/fedsa_public: Exploring the breast cancer risk detection by dynamic light scattering"
version: v1.0
doi: 10.5281/zenodo.
date-released: 2023-07-26