breast_cancer

A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).

https://github.com/pasmopy/breast_cancer

Science Score: 39.0%

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

  • 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
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.6%) to scientific vocabulary

Keywords

breast-cancer breast-cancer-classification breast-cancer-prediction cancer ccle digital-twin in-silico-clinical-trial patient-specific-modeling precision-oncology prognostic-biomarkers stratification systems-biology-simulation tcga
Last synced: 6 months ago · JSON representation

Repository

A text-based computational framework for patient -specific modeling for classification of cancers. iScience (2022).

Basic Info
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 5
  • Open Issues: 0
  • Releases: 0
Topics
breast-cancer breast-cancer-classification breast-cancer-prediction cancer ccle digital-twin in-silico-clinical-trial patient-specific-modeling precision-oncology prognostic-biomarkers stratification systems-biology-simulation tcga
Created almost 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Code of conduct Citation

README.md

The Pasmopy Project: Breast Cancer

Actions Status License iScience Paper

overview

This repository contains modeling and analysis code for the following paper:

  • Imoto, H., Yamashiro, S. & Okada, M. A text-based computational framework for patient -specific modeling for classification of cancers. iScience 25, 103944 (2022). https://doi.org/10.1016/j.isci.2022.103944

Installation

Clone the package:

shell $ git clone https://github.com/pasmopy/breast_cancer.git

Getting Started

  • Online documentation is hosted on GitHub Pages: https://pasmopy.github.io/breast_cancer.

  • Please also refer to the method paper: https://doi.org/10.1016/j.xpro.2022.101619.

Author

  • Hiroaki Imoto
  • Sawa Yamashiro

License

  1. Code license

Licensed under the Apache License, Version 2.0. For details, see the LICENSE file.

  1. Model parameters license

The model parameters are made available under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. You can find details at: https://creativecommons.org/licenses/by-nc-nd/4.0

Owner

  • Name: Pasmopy
  • Login: pasmopy
  • Kind: organization

Using patient-specific in silico model to pave the way for personalized treatments.

GitHub Events

Total
  • Create event: 3
  • Issues event: 2
  • Release event: 1
  • Delete event: 2
  • Issue comment event: 5
  • Push event: 3
  • Pull request event: 5
  • Fork event: 1
Last Year
  • Create event: 3
  • Issues event: 2
  • Release event: 1
  • Delete event: 2
  • Issue comment event: 5
  • Push event: 3
  • Pull request event: 5
  • Fork event: 1

Dependencies

requirements.txt pypi
  • biomass >=0.5.2,<0.6
  • matplotlib >=3.0
  • numpy >=1.17
  • pandas >=0.24
  • pasmopy ==0.1.0
  • scipy >=1.6
  • seaborn >=0.11.2
.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite