Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: MiriamCobo
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 1.17 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Pamplona-ELCAP (P-ELCAP/CCUN) dataset

The code to process and run technical validation experiments.

Data acquisition

Access to the dataset on Zenodo will be granted upon the signing of the institutional agreement https://doi.org/10.5281/zenodo.15120062

Enviroment configuration

conda env create -f lungAmbpy3.yml

Image Models

Unzip LDCT_data.zip and set up in your computer. We recommend you use at least one GPU. Prepare config.json, process data as in \DataPreparation, creating the 3 folds and run the models.

Protein models

Download Olink_proteomics.xlsx, process data as in \DataPreparation and run the models. In the biologically informed neural netowrk (BINN) model, set up the repository following the original code in https://github.com/InfectionMedicineProteomics/BINN

Citation

If you use this dataset or code in your research, please cite: * Dataset: Cobo, Miriam, et al. "Lung Ambition dataset" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15120062 * Paper: Cobo, Miriam, et al. "A multimodal dataset for personalized low-dose CT-based lung cancer screening research". Under revision

Owner

  • Name: Miriam Cobo
  • Login: MiriamCobo
  • Kind: user
  • Location: IFCA
  • Company: CSIC

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Cobo Cano"
  given-names: "Miriam"
  orcid: " https://orcid.org/0000-0001-9208-9062"
title: "P-ELCAP/CCUN project software"
version: 1.0.0
doi:
date-released: 2025-04-04
url: "https://github.com/MiriamCobo/P-ELCAP_Dataset"

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