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retrospective_manuscript

Scripts from the paper "Epidemiological characterization of rare diseases in Brazil: a study of the Brazilian Rare Diseases Network"

https://github.com/raras-br/retrospective_manuscript

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
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Scripts from the paper "Epidemiological characterization of rare diseases in Brazil: a study of the Brazilian Rare Diseases Network"

Basic Info
  • Host: GitHub
  • Owner: RARAS-BR
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 2.92 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Epidemiological characterization of rare diseases in Brazil: a study of the Brazilian Rare Diseases Network

Python 3.10.0

How to reproduce analysis

Setup Python 3.10.0 bash sudo apt update sudo apt upgrade sudo apt install -y build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev wget https://www.python.org/ftp/python/3.10.0/Python-3.10.0.tgz tar -xzvf Python-3.10.0.tgz cd Python-3.10.0 ./configure make sudo make install Create a virtual environment and install the dependencies :tada: bash python3 -m venv venv source venv/bin/activate pip install --upgrade pip pip install -r requirements.txt

Owner

  • Name: Rede Nacional de Doenças Raras
  • Login: RARAS-BR
  • Kind: organization
  • Email: suporte@raras.org.br
  • Location: Brazil

Citation (CITATION.cff) 

cff-version: 1.2.0
message: If you use this software, please cite it as below.

title: Brazilian Rare Disease Portal (RARASBR)
version: 1.0.0
doi: http://doi.org/10.25504/FAIRsharing.d7b6c8
license: MIT

---

# Citation Entry
title: RARASBR; Brazilian Rare Disease Portal
type: database
version: Not applicable
doi: http://doi.org/10.25504/FAIRsharing.d7b6c8
url: https://raras.org.br/
how-to-cite: FAIRsharing.org: RARASBR; Brazilian Rare Disease Portal, DOI: 10.25504/FAIRsharing.d7b6c8, Last Edited: Thursday, November 23rd 2023, 9:58, Last Editor: delphinedauga, Last Accessed: Friday, December 8th 2023, 15:53

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Dependencies

requirements.txt pypi
  • ipython ==8.16.1
  • matplotlib ==3.8.0
  • numpy ==1.24.3
  • pandas ==1.5.3
  • plotly ==5.17.0
  • scipy ==1.11.3
  • seaborn ==0.12.2
  • session_info ==1.0.0