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@PERSIMUNE

PERSIMUNE Health Informatics

PERSIMUNE GitHub

Introduction

Welcome to the GitHub of PERSIMUNE! It hosts various research projects, code repositories, and resources related to our ongoing research efforts.

Naming Protocol for GitHub Repositories

As a part of maintaining a well-organized and easily navigable GitHub repository space, we have established the following naming protocol for each repository:

General Naming Guidelines

  1. Major Standalone Projects: For any significant standalone project, there are no strict naming restrictions. You are free to choose a descriptive name that reflects the essence of the project.

  2. Code Supporting Publications: If the repository contains code that directly supports a single publication, please follow the provided naming templates based on the type of code.

Code Supporting a Single Publication

For code repositories that serve to support a single publication, we use the following naming conventions:

Web Application Code

For code that deploys a web application associated with a publication, use the following naming template:

PAW[YYYY][Surname]__[TITLE]
  • PAW: Abbreviation for "Paper Associated Webapp."
  • YYYY: The year of the expected publication.
  • Surname: The last name of the first author of the publication.
  • TITLE: A short descriptive title with words separated by single underscores "_".

Example: PAW2023Doe__Sentiment_Analysis_WebApp

Non-Web Application Code

For code that is not a web application but is associated with a publication, use the following naming template:

PAC[YYYY][Surname]__[TITLE]
  • PAC: Abbreviation for "Paper Associated Code."
  • YYYY: The year of the expected publication.
  • Surname: The last name of the first author of the publication.
  • TITLE: A short descriptive title with words separated by single underscores "_".

Example: PAC2023Smith__Data_Preprocessing_Utils

About PERSIMUNE

Centre for Personalised Medicine of Infectious Complications in Immune Deficiency (PERSIMUNE) funded by Danish National Research Foundation is dedicated to pushing the boundaries of knowledge in various areas of infectious diseases including pattern recognition from big data from routine care, studies of host and microbial genetics, imaging, and immunological characterization. Our researchers and scholars engage in cutting-edge research, addressing some of the most pressing challenges facing society today. Through interdisciplinary collaboration and innovation, we strive to make meaningful contributions.

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  1. MAIT MAIT Public

    Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

    HTML 4

  2. explainer explainer Public

    ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel fr…

    R 19 1

  3. DAIMS DAIMS Public

    DAIMS: Datasheets for AI and Medical Datasets

    Python 1

Repositories

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